Triple
T12034168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Río Yaqui |
E286490
|
entity |
| Predicate | hasMouthNear |
P350
|
FINISHED |
| Object | Ciudad Obregón |
E130191
|
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: Ciudad Obregón | Statement: [Río Yaqui, hasMouthNear, Ciudad Obregón]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ciudad Obregón Context triple: [Río Yaqui, hasMouthNear, Ciudad Obregón]
-
A.
Ciudad Obregón
chosen
Ciudad Obregón is a major agricultural and industrial city in the state of Sonora, Mexico, known for its role in the development of modern irrigation and wheat production in the Yaqui Valley.
-
B.
Culiacán
Culiacán is the largest city and main economic and cultural center of the Mexican state of Sinaloa.
-
C.
Agua Prieta
Agua Prieta is a Mexican border city in the state of Sonora, located across from Douglas, Arizona, and known for its role in cross-border trade and migration.
-
D.
Ciudad Juárez
Ciudad Juárez is a major industrial and border city in northern Mexico, located across the Rio Grande from El Paso, Texas.
-
E.
Acapulco de Juárez
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.
- 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_69d6ab4669e48190b59246358b0383ab |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9040724ec8190808f334013ddc6d6 |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49d6ec4b8819093ff50254a851444 |
completed | May 1, 2026, 12:32 p.m. |
Created at: April 8, 2026, 9:47 p.m.