Triple
T24554867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blackwell Meadows |
E607484
|
entity |
| Predicate | openedAsFootballVenueForDarlingtonFC |
P156295
|
FINISHED |
| Object | 2016 |
—
|
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: 2016 | Statement: [Blackwell Meadows, openedAsFootballVenueForDarlingtonFC, 2016]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openedAsFootballVenueForDarlingtonFC Context triple: [Blackwell Meadows, openedAsFootballVenueForDarlingtonFC, 2016]
-
A.
openedAsSportsVenue
Indicates that a place or facility began its operation specifically for hosting sports events or activities.
-
B.
openedOnFormerStadiumSite
Indicates that something (such as a venue or facility) was opened on the site where a former stadium once stood.
-
C.
hasHomeStadiumOfOxfordUnited
Indicates that the subject is the home stadium used by the football club Oxford United.
-
D.
openedWithStadium
Indicates that something (such as an event, season, or facility) began or was inaugurated concurrently with the opening of a particular stadium.
-
E.
hasFootballTrainingCentre
Indicates that an entity possesses or hosts a facility specifically designated for football training.
- 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_69e2c4cae1b88190825e88d5ce8aa61e |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a8f13d4c81909ffecf8c26d272f0 |
completed | April 30, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b99e7c8190ba7e2dc8729a314a |
completed | April 30, 2026, 12:47 a.m. |
| PDg | Predicate description generation | batch_69f2a846c5bc81909ba50cee483bea91 |
completed | April 30, 2026, 12:54 a.m. |
Created at: April 18, 2026, 2:27 a.m.