Triple
T11856604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martín Carrera |
E282055
|
entity |
| Predicate | terminusDirectionForLine6 |
P34413
|
FINISHED |
| Object | east 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: east terminus | Statement: [Martín Carrera, terminusDirectionForLine6, east terminus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: terminusDirectionForLine6 Context triple: [Martín Carrera, terminusDirectionForLine6, east 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.
adjacentStationOnINDSixthAvenueLine
Indicates that one station is directly next to another station along the IND Sixth Avenue subway line.
-
D.
transportDirection
Indicates the directional flow or route along which something is transported from an origin toward a destination.
-
E.
subwayLine
Indicates that there is a subway line connection or service relationship between the referenced entities.
- 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.