Triple
T19095839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gran Santiago |
E467401
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
San Miguel
San Miguel is a commune and residential district within the Greater Santiago metropolitan area of Chile.
|
E1357974
|
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: San Miguel | Statement: [Gran Santiago, contains, San Miguel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San Miguel Context triple: [Gran Santiago, contains, San Miguel]
-
A.
San Miguel
San Miguel is a landlocked agricultural municipality in the province of Bulacan in the Philippines, known for its historical sites and rural communities.
-
B.
San Miguel
San Miguel is a municipality located in Colombia’s southern Putumayo Department, near the border with Ecuador.
-
C.
San Miguel
San Miguel is a city in the Greater Buenos Aires metropolitan area of Argentina, located in the northwest of Buenos Aires Province.
-
D.
San Miguel
San Miguel is a city in eastern El Salvador that serves as an important commercial and cultural center for the surrounding region.
-
E.
San Miguel
San Miguel is a lakeside settlement in Guatemala situated on the shores of Lake Petén Itzá, known for its proximity to the historic island city of Flores and nearby Maya archaeological sites.
- 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: San Miguel Triple: [Gran Santiago, contains, San Miguel]
Generated description
San Miguel is a commune and residential district within the Greater Santiago metropolitan area of Chile.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: San Miguel Target entity description: San Miguel is a commune and residential district within the Greater Santiago metropolitan area of Chile.
-
A.
San Miguel
San Miguel is a coastal district of Lima, Peru, known for its residential areas, shopping centers, and access to major avenues and the Pacific shoreline.
-
B.
San Miguel
San Miguel is a city in the Greater Buenos Aires metropolitan area of Argentina, located in the northwest of Buenos Aires Province.
-
C.
San Miguel
San Miguel is a city in eastern El Salvador that serves as an important commercial and cultural center for the surrounding region.
-
D.
San Miguel
San Miguel is a barangay (local administrative district) within the highly urbanized city of Taguig in Metro Manila, Philippines.
-
E.
San Miguel
San Miguel is a municipality located in Colombia’s southern Putumayo Department, near the border with Ecuador.
- 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_69d8dd05ac4c8190b1967d8f97f3fb2f |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e368f20c8190bd84d2ba320991ac |
completed | April 20, 2026, 8:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05dd96b8b48190a3c5b14122380b68 |
completed | May 14, 2026, 2:35 p.m. |
| NEDg | Description generation | batch_6a05dfcd85b08190b0ec431590396dbb |
completed | May 14, 2026, 2:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05e09c58308190975c69c86482292a |
completed | May 14, 2026, 2:47 p.m. |
Created at: April 10, 2026, 12:04 p.m.