Triple
T9077813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amityville station |
E217531
|
entity |
| Predicate | hasHeatedWaitingArea |
P34898
|
FINISHED |
| Object | no |
—
|
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: no | Statement: [Amityville station, hasHeatedWaitingArea, no]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHeatedWaitingArea Context triple: [Amityville station, hasHeatedWaitingArea, no]
-
A.
hasWaitingArea
Indicates that an entity provides or includes a designated space where people can wait before receiving a service or proceeding to another area.
-
B.
hasPlatformHeaters
Indicates that a platform is equipped with heaters to provide warmth or prevent ice and snow accumulation.
-
C.
hasHeating
chosen
Indicates that an entity is equipped with or provides a heating system or heating capability.
-
D.
hasStandingArea
Indicates that an entity includes or provides a designated area where people can stand.
-
E.
hasReservationArea
Indicates that an entity is assigned or associated with a specific reserved area or section designated for its use.
- 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_69ca83d6c14c8190bc056d927f00a2a2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc95c7d3688190a4c1c6a92965eae4 |
completed | April 1, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69cc65fa79bc81908b46f05c8bba920f |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:12 p.m.