Triple
T18091295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ferrocarril Chihuahua al Pacífico |
E432972
|
entity |
| Predicate | crosses |
P416
|
FINISHED |
| Object | Rio Fuerte |
—
|
NE NERFINISHED |
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: Rio Fuerte | Statement: [Ferrocarril Chihuahua al Pacífico, crosses, Rio Fuerte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rio Fuerte Context triple: [Ferrocarril Chihuahua al Pacífico, crosses, Rio Fuerte]
-
A.
Rio Fuerte
chosen
Rio Fuerte is a major river in northwestern Mexico that carves through the Sierra Madre Occidental and helps form the dramatic landscapes of the Copper Canyon region.
-
B.
Tamazula River
The Tamazula River is a river in northwestern Mexico that flows through the city of Culiacán in the state of Sinaloa.
-
C.
Río Seco
Río Seco is a coastal river in the municipality of Almuñécar in Spain’s Granada province, flowing through the town before reaching the Mediterranean Sea.
-
D.
Río Frío
Río Frío is a river in Colombia associated with the municipality of Piedecuesta in the Santander Department.
-
E.
Río Frío
Río Frío is a bus rapid transit station on Line 2 of the Metrobús system in Mexico City.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b907d05c819083cc3bd6021089e6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dd18b55081909c416fb7186bd4a4 |
completed | April 19, 2026, 1:48 p.m. |
Created at: April 10, 2026, 10:27 a.m.