Triple
T2964954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gallery Place station |
E80138
|
entity |
| Predicate | faregatesType |
P45265
|
FINISHED |
| Object | automatic faregates |
—
|
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: automatic faregates | Statement: [Gallery Place station, faregatesType, automatic faregates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: faregatesType Context triple: [Gallery Place station, faregatesType, automatic faregates]
-
A.
fortType
Indicates the specific kind or classification of a fort associated with an entity.
-
B.
craftType
Indicates the specific kind or category of craft or vessel associated with an entity.
-
C.
harborType
Indicates the specific kind or classification of a harbor associated with an entity.
-
D.
fleetType
Indicates the category or classification of a fleet to which an entity belongs or with which it is associated.
-
E.
fleetIncludes
Indicates that a particular fleet contains or is composed of the specified entity or entities as its members.
- 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_69ad8b1341848190bd19dbf46892887d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9958b1e48190a77f37bf63333c5b |
completed | March 8, 2026, 3:44 p.m. |
| PD | Predicate disambiguation | batch_69ad960e71f8819088179d11248c6ed0 |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad98379fac8190a4dfe530787703c9 |
completed | March 8, 2026, 3:39 p.m. |
Created at: March 8, 2026, 2:58 p.m.