Triple
T2461078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Secretariat of the Interior (Mexico) |
E54534
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
SEGOB
SEGOB is the Mexican federal government ministry responsible for internal affairs, domestic policy, and governance.
|
E268481
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: SEGOB | Statement: [Secretariat of the Interior (Mexico), shortName, SEGOB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SEGOB Context triple: [Secretariat of the Interior (Mexico), shortName, SEGOB]
-
A.
SEGU
SEGU is the ICAO airport code for José Joaquín de Olmedo International Airport, the main air gateway serving Guayaquil, Ecuador.
-
B.
SanSe
SanSe is a vibrant annual street festival held in Old San Juan, Puerto Rico, known for its live music, parades, artisans, and celebration of Puerto Rican culture.
-
C.
SEBL
SEBL was the stock ticker symbol for Siebel Systems, a prominent customer relationship management (CRM) software company later acquired by Oracle.
-
D.
Sabetzki
Sabetzki is a German surname most notably associated with Günther Sabetzki, a prominent ice hockey executive and former president of the International Ice Hockey Federation.
-
E.
Cabécar
The Cabécar are an Indigenous people of Costa Rica known for their Chibchan language, traditional subsistence practices, and relatively isolated communities in the country’s mountainous and forested regions.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: SEGOB Triple: [Secretariat of the Interior (Mexico), shortName, SEGOB]
Generated description
SEGOB is the Mexican federal government ministry responsible for internal affairs, domestic policy, and governance.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SEGOB Target entity description: SEGOB is the Mexican federal government ministry responsible for internal affairs, domestic policy, and governance.
-
A.
SEGU
SEGU is the ICAO airport code for José Joaquín de Olmedo International Airport, the main air gateway serving Guayaquil, Ecuador.
-
B.
SanSe
SanSe is a vibrant annual street festival held in Old San Juan, Puerto Rico, known for its live music, parades, artisans, and celebration of Puerto Rican culture.
-
C.
SEBL
SEBL was the stock ticker symbol for Siebel Systems, a prominent customer relationship management (CRM) software company later acquired by Oracle.
-
D.
Sabetzki
Sabetzki is a German surname most notably associated with Günther Sabetzki, a prominent ice hockey executive and former president of the International Ice Hockey Federation.
-
E.
Cabécar
The Cabécar are an Indigenous people of Costa Rica known for their Chibchan language, traditional subsistence practices, and relatively isolated communities in the country’s mountainous and forested regions.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ab49dee84c819096b50a0049c347ac |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd11c47408190b10c7f6a151f2db2 |
completed | March 7, 2026, 7:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aef0d2b2748190b12611863d8bf4ad |
completed | March 9, 2026, 4:09 p.m. |
| NEDg | Description generation | batch_69aef3f1fb9481909748308457e6e3df |
completed | March 9, 2026, 4:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69aef8398fd08190821e9503c01af80a |
completed | March 9, 2026, 4:41 p.m. |
Created at: March 6, 2026, 9:44 p.m.