Triple
T19923673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | White Hart Lane railway cutting area |
E478866
|
entity |
| Predicate | landUseAfterRedevelopment |
P81240
|
FINISHED |
| Object | football stadium |
—
|
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: football stadium | Statement: [White Hart Lane railway cutting area, landUseAfterRedevelopment, football stadium]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: landUseAfterRedevelopment Context triple: [White Hart Lane railway cutting area, landUseAfterRedevelopment, football stadium]
-
A.
reopenedAfterRedevelopment
Indicates that a place or facility was closed for redevelopment and subsequently opened again once the redevelopment was completed.
-
B.
landUseChangeTo
chosen
Indicates a transition in how a piece of land is used, from its previous use to a new designated use.
-
C.
redevelopmentFor
Indicates a relationship where one entity is intended, designated, or used for the redevelopment of another entity.
-
D.
redevelopmentOutcome
Indicates the result or consequence produced by a redevelopment process or project.
-
E.
redevelopmentInvolved
Indicates that an entity participated in or was associated with the process of redeveloping another entity, such as land, property, or infrastructure.
- 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_69d8e521855c8190b41871700afc8d6a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e659c7be948190a65a1c78ba68dff3 |
completed | April 20, 2026, 4:52 p.m. |
| PD | Predicate disambiguation | batch_69e537f070b481908958e0e5911dcdc1 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:53 p.m.