Triple
T4543135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Third Street Promenade |
E109983
|
entity |
| Predicate | outdoorSeatingCommon |
P57609
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Third Street Promenade, outdoorSeatingCommon, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: outdoorSeatingCommon Context triple: [Third Street Promenade, outdoorSeatingCommon, yes]
-
A.
hasGrassSeatingArea
Indicates that an entity includes or provides a seating area located on a grass surface.
-
B.
hasShelteredSeating
Indicates that an entity provides seating that is protected from weather or other external elements.
-
C.
typicalSeat
Indicates the usual or standard seating position or location associated with an entity in a given context.
-
D.
numberOfCommonsSeats
Indicates the number of seats an entity holds or is allocated in the House of Commons.
-
E.
hasPicnicTables
Indicates that an entity provides or contains one or more picnic tables available for use.
- 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_69bd4412524c8190be5bcc9ddee91848 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd57d3be988190bf118c4a87415613 |
completed | March 20, 2026, 2:21 p.m. |
| PD | Predicate disambiguation | batch_69bd5220e40481908ca2d7e2c43d8531 |
completed | March 20, 2026, 1:56 p.m. |
| PDg | Predicate description generation | batch_69bd56f6e75481909c487a94a2c2d0ba |
completed | March 20, 2026, 2:17 p.m. |
Created at: March 20, 2026, 1:05 p.m.