Triple
T1296767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tottenham Hotspur Stadium |
E27669
|
entity |
| Predicate | hasRetractablePitch |
P28376
|
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, hasRetractablePitch, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRetractablePitch Context triple: [Tottenham Hotspur Stadium, hasRetractablePitch, true]
-
A.
hasRetractableRoofPanels
Indicates that an object is equipped with roof panels that can be extended or withdrawn, allowing the roof to open or close as needed.
-
B.
seatPitch
Indicates the distance between a seat and the seat directly in front of it, typically measuring legroom or spacing in a seating arrangement.
-
C.
hasBaggageSystem
Indicates that an entity is equipped with or utilizes a baggage handling system.
-
D.
tiltingCapability
Indicates the ability of one entity to tilt or be tilted relative to another or to a reference orientation.
-
E.
landingGearType
Indicates the specific kind or configuration of landing gear that an object (typically an aircraft or vehicle) uses.
- 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.