Triple
T28926651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martin Atkinson |
E733665
|
entity |
| Predicate | hasOfficiatedAtStadium |
P172382
|
FINISHED |
| Object | Old Trafford |
—
|
NE NERFINISHED |
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: Old Trafford | Statement: [Martin Atkinson, hasOfficiatedAtStadium, Old Trafford]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOfficiatedAtStadium Context triple: [Martin Atkinson, hasOfficiatedAtStadium, Old Trafford]
-
A.
playedAtStadium
Indicates that an event or game took place at, or was hosted in, a specific stadium.
-
B.
hasStadiumUse
Indicates that one entity (typically a team, organization, or event) uses or is authorized to use a particular stadium for its activities or purposes.
-
C.
locatedInStadiumOf
Indicates that something is situated within the stadium that belongs to or is used by a particular entity.
-
D.
stadiumUsedFor
Indicates that a particular stadium is used for a specific activity, event, or purpose.
-
E.
locatedInStadium
Indicates that an entity is situated within or at the premises of a specific stadium.
- 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_69f05b0b49b08190b8994b339c7980f6 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f6abe15d5c81909ccf4ce37f78bc43 |
completed | May 3, 2026, 1:58 a.m. |
| PD | Predicate disambiguation | batch_69f6aa1c555081908787dbf76147f180 |
completed | May 3, 2026, 1:51 a.m. |
| PDg | Predicate description generation | batch_69f6aaf31a548190b2f792ff4b8c002a |
completed | May 3, 2026, 1:54 a.m. |
Created at: April 28, 2026, 8:24 a.m.