Triple
T17320762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Downing Stadium |
E420552
|
entity |
| Predicate | laterSurface |
P126965
|
FINISHED |
| Object | artificial turf |
—
|
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: artificial turf | Statement: [Downing Stadium, laterSurface, artificial turf]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterSurface Context triple: [Downing Stadium, laterSurface, artificial turf]
-
A.
secondarySurface
Indicates a relationship where one surface functions as a secondary or subordinate surface in relation to a primary or main surface.
-
B.
formerSurface
Indicates that one entity previously served as the surface or outer layer of another entity, but no longer does so.
-
C.
targetSurface
Indicates the surface or area that an action, effect, or object is directed at or intended to impact.
-
D.
laterBase
Indicates that one event, state, or version occurs or is valid at a later time than another referenced event, state, or version.
-
E.
outerSurface
Indicates that one entity forms the external boundary or outermost layer of another entity.
- 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_69d889d22b848190a4663d0b8f8f76e7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e439cf5394819089bff5f8dc2e8241 |
completed | April 19, 2026, 2:11 a.m. |
| PD | Predicate disambiguation | batch_69e3b01b9d1c8190a406dd941c9b11a1 |
completed | April 18, 2026, 4:23 p.m. |
| PDg | Predicate description generation | batch_69e3b2a225b08190a50f984caa6513b9 |
completed | April 18, 2026, 4:34 p.m. |
Created at: April 10, 2026, 5:43 a.m.