Triple
T17042253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ferromex railway line |
E413473
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Sinaloa |
E28571
|
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: Sinaloa | Statement: [Ferromex railway line, locatedIn, Sinaloa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sinaloa Context triple: [Ferromex railway line, locatedIn, Sinaloa]
-
A.
Sinaloa
chosen
Sinaloa is a state in northwestern Mexico known for its fertile agricultural lands, Pacific coastline, and significant role in the country's cultural and economic life.
-
B.
Navojoa, Sonora
Navojoa, Sonora is a city in southern Sonora, Mexico, known as an important agricultural and commercial center in the Mayo River valley.
-
C.
Nayarit
Nayarit is a small Pacific-coast state in western Mexico known for its beaches, coastal resorts, and diverse mountainous and tropical landscapes.
-
D.
Sonora
Sonora is a large northwestern Mexican state bordering the United States, known for its desert landscapes, cattle ranching, and significant industrial and agricultural production.
-
E.
Sonora
Sonora is a small town in Kentucky known for its rural character and role as a local transportation junction.
- 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_69d886cd18288190b006abab23f811b7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d8f771608190b596138ddec118c6 |
completed | April 18, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01232f69308190b4799ffcaaa98eeb |
completed | May 11, 2026, 12:30 a.m. |
Created at: April 10, 2026, 5:33 a.m.