Triple
T23640881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue Comet |
E583885
|
entity |
| Predicate | departureStationForNewYorkArea |
P152998
|
FINISHED |
| Object | Communipaw Terminal |
—
|
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: Communipaw Terminal | Statement: [Blue Comet, departureStationForNewYorkArea, Communipaw Terminal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: departureStationForNewYorkArea Context triple: [Blue Comet, departureStationForNewYorkArea, Communipaw Terminal]
-
A.
adjacentStationTowardNYC
Indicates that one station is directly next to another in the direction toward New York City.
-
B.
otherMajorNYCAirport
Indicates that one airport is another major airport serving the New York City area, distinct from a primary or reference NYC airport.
-
C.
airportStation
Indicates a location functions as an airport facility where air transport operations occur.
-
D.
stationBorough
Indicates the borough or administrative district in which a station is located.
-
E.
bronxLocalStops
Indicates that something (typically a train or service) makes local, non-express stops within the Bronx.
- F. None of above. chosen
Provenance (4 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_69e248fe1c2c8190ac914d2442ff3d26 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b2808d888190a2198f5efd25f2df |
completed | April 29, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69f118d7903c8190bb590a71771e93af |
completed | April 28, 2026, 8:30 p.m. |
| PDg | Predicate description generation | batch_69f1233300bc8190ac1639bdca1d7d99 |
completed | April 28, 2026, 9:14 p.m. |
Created at: April 17, 2026, 6:48 p.m.