Triple
T1756286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michie Stadium |
E38555
|
entity |
| Predicate | formerSurface |
P32808
|
FINISHED |
| Object | natural grass |
—
|
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: natural grass | Statement: [Michie Stadium, formerSurface, natural grass]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerSurface Context triple: [Michie Stadium, formerSurface, natural grass]
-
A.
secondarySurface
Indicates a relationship where one surface functions as a secondary or subordinate surface in relation to a primary or main surface.
-
B.
formerType
Indicates that one entity previously had a certain type, role, or classification but no longer does.
-
C.
formerUrl
Indicates that one entity was previously identified or accessible via the URL represented by the other entity, but that URL is no longer current.
-
D.
formerState
Indicates that an entity previously held the status or condition of a particular state but no longer does so.
-
E.
formerField
Indicates that an entity previously had a particular field, role, or area of activity, but no longer does.
- 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_69a8862bdb2081908aefe831c8aa8017 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aba6a63f588190b53b39c6b97d74f4 |
completed | March 7, 2026, 4:16 a.m. |
| PD | Predicate disambiguation | batch_69aa61c7ef4c8190abec87c96a787d82 |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69aba6a4c84c8190b3ce0bf69c2b5f6d |
completed | March 7, 2026, 4:16 a.m. |
Created at: March 4, 2026, 7:31 p.m.