Triple
T1296784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tottenham Hotspur Stadium |
E27669
|
entity |
| Predicate | hasSafeStandingAreas |
P28378
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Tottenham Hotspur Stadium, hasSafeStandingAreas, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSafeStandingAreas Context triple: [Tottenham Hotspur Stadium, hasSafeStandingAreas, true]
-
A.
hasPedestrianArea
Indicates that a location or zone includes a designated area intended for pedestrian use only or primarily.
-
B.
hasSpectatorArea
Indicates that a location or facility includes a designated area intended for spectators to observe an event or activity.
-
C.
hasSkiableArea
Indicates that an entity possesses an area of terrain that can be used for skiing.
-
D.
hasStepFreeAccess
Indicates that a location, facility, or route can be accessed without using stairs, typically via ramps, lifts, or level entrances.
-
E.
hasRecreationalArea
Indicates that an entity includes, provides, or is associated with a designated space intended for leisure or recreational activities.
- 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_69a496d6682881909ba658f1c1e0e2b0 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c3bb3a9c81909db2ad91defd87b6 |
completed | March 1, 2026, 10:54 p.m. |
| PD | Predicate disambiguation | batch_69a4bee64d908190b6a9bb479959d523 |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4c3b9ebdc819098de4d3288201bc1 |
completed | March 1, 2026, 10:54 p.m. |
Created at: March 1, 2026, 7:51 p.m.