Triple
T11856603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martín Carrera |
E282055
|
entity |
| Predicate | terminusDirectionForLine4 |
P34413
|
FINISHED |
| Object | northeast terminus |
—
|
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: northeast terminus | Statement: [Martín Carrera, terminusDirectionForLine4, northeast terminus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: terminusDirectionForLine4 Context triple: [Martín Carrera, terminusDirectionForLine4, northeast terminus]
-
A.
terminusDirection
chosen
Indicates the directional orientation or endpoint direction associated with a route, path, or line.
-
B.
direction2Terminus
Indicates the direction in which something leads toward or ends at a particular terminus or endpoint.
-
C.
transportDirection
Indicates the directional flow or route along which something is transported from an origin toward a destination.
-
D.
trainNumberDirection
Indicates the specific direction in which a train, identified by its train number, is traveling or scheduled to travel.
-
E.
precedingStationOnLine4
Indicates that one station is immediately before another station in the ordered sequence of stops on transit line 4.
- 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_69d6ab287ba48190a5178779fd19b9b7 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a699089c8190b7a298baf13dcded |
completed | April 10, 2026, 7:28 a.m. |
| PD | Predicate disambiguation | batch_69d8a2573dbc8190ab432e8e28fde6cc |
completed | April 10, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:43 p.m.