Triple
T27409236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 191st Street |
E692094
|
entity |
| Predicate | hasBooth |
P178280
|
FINISHED |
| Object | station agent booth |
—
|
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: station agent booth | Statement: [191st Street, hasBooth, station agent booth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBooth Context triple: [191st Street, hasBooth, station agent booth]
-
A.
hasCollectorBooth
Indicates that an entity has an associated collector booth, typically a designated place or station where collection-related activities (such as payments, tickets, or items) are handled.
-
B.
hasExhibitionArea
Indicates that an entity includes or provides a designated space or area for exhibitions or displays.
-
C.
hasExhibitionVenue
Indicates that an exhibition is held or hosted at a particular venue.
-
D.
hasExhibition
Indicates that an entity organizes, hosts, or presents a particular exhibition.
-
E.
hasExhibitors
Indicates that an entity includes, hosts, or is associated with one or more exhibitors.
- 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_69ef5205fc808190ad3efc5525b8e6d6 |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69f70e8755a48190931eaa77946f9460 |
completed | May 3, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69f70abc00848190a1c3f495ef6c8dc6 |
completed | May 3, 2026, 8:43 a.m. |
| PDg | Predicate description generation | batch_69f70e854b9c8190a3416e2189e17742 |
completed | May 3, 2026, 8:59 a.m. |
Created at: April 27, 2026, 12:31 p.m.