Triple
T6019227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southwestern Pennsylvania |
E134022
|
entity |
| Predicate | hasSportsMarket |
P41661
|
FINISHED |
| Object | Pittsburgh sports market |
—
|
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: Pittsburgh sports market | Statement: [Southwestern Pennsylvania, hasSportsMarket, Pittsburgh sports market]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSportsMarket Context triple: [Southwestern Pennsylvania, hasSportsMarket, Pittsburgh sports market]
-
A.
sportsMarketFor
Indicates a market or commercial context in which a particular sport, sporting event, or sports-related product is bought, sold, traded, or otherwise economically transacted.
-
B.
associatedWithSportMarket
chosen
Indicates a relationship where an entity is connected or linked to a specific sport-related market or segment within the sports industry.
-
C.
hasMarket
Indicates that an entity possesses, operates in, or is associated with a particular market or marketplace.
-
D.
hasSportsStatus
Indicates that an entity holds a particular sports-related status, role, or classification (such as amateur, professional, active, or retired) within a sporting context.
-
E.
hasMajorMarket
Indicates that an entity has a primary or most significant market in a specified location or segment.
- F. None of above.
Provenance (3 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_69c008742a5c8190b9cb9c2787a3d8b3 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04f8589d0819089ae7840461640f6 |
completed | March 22, 2026, 8:22 p.m. |
| PD | Predicate disambiguation | batch_69c049e75b3881908be106fbcf8c68d4 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:07 p.m.