Triple
T13808021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NHL expansion of 1967 |
E331808
|
entity |
| Predicate | marketTypeTargeted |
P2821
|
FINISHED |
| Object | large U.S. metropolitan areas |
—
|
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: large U.S. metropolitan areas | Statement: [NHL expansion of 1967, marketTypeTargeted, large U.S. metropolitan areas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marketTypeTargeted Context triple: [NHL expansion of 1967, marketTypeTargeted, large U.S. metropolitan areas]
-
A.
marketType
chosen
Indicates the classification or category of market in which an entity operates or a transaction occurs (e.g., retail, wholesale, online).
-
B.
targetMarket
Indicates the group of consumers or organizations that a product, service, or campaign is specifically intended and designed to reach.
-
C.
hasMarketingTarget
Indicates that an entity is aimed at or intended to appeal to a specific marketing audience or segment.
-
D.
marketsThrough
Indicates that one entity promotes, sells, or distributes its products or services by using another entity as a marketing or sales channel.
-
E.
coreMarket
Indicates that an entity serves as the primary or most important market for another entity’s products, services, or activities.
- 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de026eae8481908b8880635e6a9152 |
completed | April 14, 2026, 9:01 a.m. |
| PD | Predicate disambiguation | batch_69dbc862e9608190bd8a3d883959b7e4 |
completed | April 12, 2026, 4:29 p.m. |
Created at: April 9, 2026, 10:12 p.m.