Triple
T2701927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern New Mexico |
E59249
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Espanola
Española is a small city in northern New Mexico known for its location in the Rio Grande Valley and its blend of Hispanic and Native American cultural heritage.
|
E290811
|
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: Espanola | Statement: [Northern New Mexico, hasMajorCity, Espanola]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Espanola Context triple: [Northern New Mexico, hasMajorCity, Espanola]
-
A.
Tasqueña
Tasqueña is a major transit hub and southern terminus of Mexico City’s Metro Line 2, integrating metro, light rail, and bus services.
-
B.
Montalva
Montalva is a Spanish-language surname notably associated with Chilean president Eduardo Frei Montalva.
-
C.
Espinosa
Espinosa is a neighborhood (barrio) within the municipality of Dorado in Puerto Rico.
-
D.
Diegueño
Diegueño is an alternative name for the Kumeyaay language, an indigenous Yuman language traditionally spoken in the border region of southern California and northern Baja California.
-
E.
Rivas
Rivas is a city in southwestern Nicaragua known as a regional commercial center and gateway between Lake Nicaragua and the Pacific coast.
- 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: Espanola Triple: [Northern New Mexico, hasMajorCity, Espanola]
Generated description
Española is a small city in northern New Mexico known for its location in the Rio Grande Valley and its blend of Hispanic and Native American cultural heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Espanola Target entity description: Española is a small city in northern New Mexico known for its location in the Rio Grande Valley and its blend of Hispanic and Native American cultural heritage.
-
A.
Tasqueña
Tasqueña is a major transit hub and southern terminus of Mexico City’s Metro Line 2, integrating metro, light rail, and bus services.
-
B.
Montalva
Montalva is a Spanish-language surname notably associated with Chilean president Eduardo Frei Montalva.
-
C.
Espinosa
Espinosa is a neighborhood (barrio) within the municipality of Dorado in Puerto Rico.
-
D.
Diegueño
Diegueño is an alternative name for the Kumeyaay language, an indigenous Yuman language traditionally spoken in the border region of southern California and northern Baja California.
-
E.
Rivas
Rivas is a city in southwestern Nicaragua known as a regional commercial center and gateway between Lake Nicaragua and the Pacific coast.
- 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_69ab4ac66bc88190b9e4afa5fc843f72 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda4e679c8190a2926284568d9020 |
completed | March 7, 2026, 7:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afaf76caec8190930ead7931f7ea91 |
completed | March 10, 2026, 5:43 a.m. |
| NEDg | Description generation | batch_69afb01c248c81909af7358da96aa588 |
completed | March 10, 2026, 5:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afb0ae71888190ab0675b7897f1589 |
completed | March 10, 2026, 5:48 a.m. |
Created at: March 6, 2026, 9:55 p.m.