Triple
T2275828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guerrero |
E50767
|
entity |
| Predicate | largestCity |
P235
|
FINISHED |
| Object | Acapulco de Juárez |
E252396
|
NE FINISHED |
How this triple was built (2 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: Acapulco de Juárez | Statement: [Guerrero, largestCity, Acapulco de Juárez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Acapulco de Juárez Context triple: [Guerrero, largestCity, Acapulco de Juárez]
-
A.
Acapulco de Juárez
chosen
Acapulco de Juárez is a major Pacific coastal city and tourist resort in the Mexican state of Guerrero, renowned for its beaches, nightlife, and historic role as a key port.
-
B.
Chihuahua City
Chihuahua City is a major urban and industrial center in northern Mexico known for its colonial architecture, mining history, and role in the Mexican Revolution.
-
C.
Monclova
Monclova is an industrial city in northern Mexico known as a major steel-producing center in the state of Coahuila.
-
D.
Celaya
Celaya is a major city and industrial municipality in the Mexican state of Guanajuato, known for its manufacturing sector and traditional cajeta (goat’s milk caramel).
-
E.
Culiacán
Culiacán is the largest city and main economic and cultural center of the Mexican state of Sinaloa.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a88b05910c8190a9a2b1ff230c85f9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc1ecc600819095dd4f69af1d18d8 |
completed | March 7, 2026, 6:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b432e588308190bd331d7b8776e546 |
completed | March 13, 2026, 3:53 p.m. |
Created at: March 4, 2026, 7:48 p.m.