Triple
T122355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FieldTurf |
E2475
|
entity |
| Predicate | marketedFor |
P5087
|
FINISHED |
| Object | all-weather playability |
—
|
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: all-weather playability | Statement: [FieldTurf, marketedFor, all-weather playability]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marketedFor Context triple: [FieldTurf, marketedFor, all-weather playability]
-
A.
marketedBy
Indicates that one entity is promoted, advertised, or commercially presented to customers by another entity.
-
B.
commercializedIn
Indicates that something has been brought to market or made available for commercial sale or use within a specified place or context.
-
C.
market
Indicates the act of promoting, advertising, or selling a product, service, or idea to potential buyers or target audiences.
-
D.
commercialized
Indicates that something has been developed, marketed, or exploited for profit in a commercial context.
-
E.
hasMarket
Indicates that an entity possesses, operates in, or is associated with a particular market or marketplace.
- 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_69a2506c5428819085c28a8884790e29 |
completed | Feb. 28, 2026, 2:18 a.m. |
| NER | Named-entity recognition | batch_69a2573b4e7481909ee09d2899f8a74b |
completed | Feb. 28, 2026, 2:47 a.m. |
| PD | Predicate disambiguation | batch_69a2564928208190966a619680a0d6e2 |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a256c72f6c81909b619b90d829d86e |
completed | Feb. 28, 2026, 2:45 a.m. |
Created at: Feb. 28, 2026, 2:24 a.m.