Triple
T25144949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Los Mochis railway station |
E629907
|
entity |
| Predicate | majorStopOn |
P29762
|
FINISHED |
| Object | Ferrocarril Chihuahua al Pacífico |
—
|
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: Ferrocarril Chihuahua al Pacífico | Statement: [Los Mochis railway station, majorStopOn, Ferrocarril Chihuahua al Pacífico]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorStopOn Context triple: [Los Mochis railway station, majorStopOn, Ferrocarril Chihuahua al Pacífico]
-
A.
majorStop
chosen
Indicates that a location functions as a primary or significant stop along a route or service path, typically where vehicles regularly halt for boarding, alighting, or key operations.
-
B.
majorStatus
Indicates that an entity holds primary or most significant status relative to others in a given context.
-
C.
majorFor
Indicates that an academic program, field of study, or specialization is the primary major associated with a particular student or degree.
-
D.
majorSee
Indicates that one entity serves as the primary or most important location where another entity is based, operates, or is centered.
-
E.
stoppedBy
Indicates that one entity causes another entity to cease moving, operating, or continuing an action.
- F. None of above.
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_69e2ff349e408190a6f4a5a66279f54d |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f6640168948190811bd5f933a87cf5 |
completed | May 2, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69f6633451948190bcc0410602bb4914 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 18, 2026, 6:29 a.m.