Triple
T17778058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | General Anaya |
E443823
|
entity |
| Predicate | directionOfTravelFromStation |
P120426
|
FINISHED |
| Object | northbound to Cuatro Caminos |
—
|
LITERAL 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: northbound to Cuatro Caminos | Statement: [General Anaya, directionOfTravelFromStation, northbound to Cuatro Caminos]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: directionOfTravelFromStation Context triple: [General Anaya, directionOfTravelFromStation, northbound to Cuatro Caminos]
-
A.
trainNumberDirection
Indicates the specific direction in which a train, identified by its train number, is traveling or scheduled to travel.
-
B.
terminusDirection
Indicates the directional orientation or endpoint direction associated with a route, path, or line.
-
C.
accessibleFromStation
Indicates that a location or facility can be reached directly or conveniently starting from a given station.
-
D.
railwayRouteDirection
chosen
Indicates the direction or orientation in which a railway route runs or is intended to be traveled.
-
E.
transportDirection
Indicates the directional flow or route along which something is transported from an origin toward a destination.
- 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_69d8b9ef17708190bdf7e2adbf14ddc2 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4871e06a481909cf6d59e49dc21c5 |
completed | April 19, 2026, 7:41 a.m. |
| PD | Predicate disambiguation | batch_69e3d8d8e538819084f1584426b41d5e |
completed | April 18, 2026, 7:17 p.m. |
Created at: April 10, 2026, 10:12 a.m.