Triple
T18091283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ferrocarril Chihuahua al Pacífico |
E432972
|
entity |
| Predicate | terminus |
P388
|
FINISHED |
| Object | Los Mochis |
—
|
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: Los Mochis | Statement: [Ferrocarril Chihuahua al Pacífico, terminus, Los Mochis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Los Mochis Context triple: [Ferrocarril Chihuahua al Pacífico, terminus, Los Mochis]
-
A.
Los Mochis
chosen
Los Mochis is a major city in northwestern Mexico known as an important agricultural, commercial, and transportation hub in the state of Sinaloa.
-
B.
Guamúchil
Guamúchil is a city in the Mexican state of Sinaloa known as a regional commercial and agricultural center.
-
C.
Tecomán
Tecomán is a city in the Mexican state of Colima known for its agricultural production, particularly limes, and its proximity to Pacific coast beaches.
-
D.
Guasave
Guasave is a coastal agricultural and fishing city and municipality in the north-central region of the Mexican state of Sinaloa.
-
E.
Tuxpam
Tuxpam is an alternative spelling of Tuxpan, a coastal city and important port in the Mexican state of Veracruz.
- 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.