Triple
T21349577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Upton Park Underground station |
E526436
|
entity |
| Predicate | hasBenchSeating |
P29312
|
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: [Upton Park Underground station, hasBenchSeating, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBenchSeating Context triple: [Upton Park Underground station, hasBenchSeating, yes]
-
A.
hasAdditionalBenchesAt
Indicates that one location or facility includes extra benches situated at or associated with another specified place.
-
B.
hasBermSeating
Indicates that a venue or location includes berm-style seating areas, typically grass-covered embankments where spectators can sit.
-
C.
hasBench
chosen
Indicates that one entity possesses, contains, or is equipped with a bench.
-
D.
hasSeating
Indicates that one entity provides or contains seating capacity or seating arrangements for another entity.
-
E.
hasShelteredSeating
Indicates that an entity provides seating that is protected from weather or other external elements.
- 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_69e0b51cd5cc81909ac1187971e8a8ad |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8ad30512081909012ce318fa67679 |
completed | April 22, 2026, 11:12 a.m. |
| PD | Predicate disambiguation | batch_69e6161feea4819091d13bb003363279 |
completed | April 20, 2026, 12:03 p.m. |
Created at: April 16, 2026, 5:03 p.m.