Triple
T2372142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2014 NWSL Championship |
E46113
|
entity |
| Predicate | featuredCompetitionLevel |
P37877
|
FINISHED |
| Object | top-tier U.S. women's professional soccer |
—
|
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: top-tier U.S. women's professional soccer | Statement: [2014 NWSL Championship, featuredCompetitionLevel, top-tier U.S. women's professional soccer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuredCompetitionLevel Context triple: [2014 NWSL Championship, featuredCompetitionLevel, top-tier U.S. women's professional soccer]
-
A.
featuredCompetition
Indicates that a particular competition is highlighted or given special prominence relative to others.
-
B.
primaryCompetitionLevel
Indicates the main or highest level of competition at which an entity primarily competes or operates.
-
C.
competitionLevel
Indicates the degree or intensity of competitive pressure or rivalry present in a given context or interaction.
-
D.
levelOfCompetition
Indicates the intensity or degree of competitive pressure present in a given context or interaction.
-
E.
typeOfCompetition
Indicates the specific kind or category of competition in which an entity participates or is involved.
- 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_69a88a145268819083e2736cb835c696 |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abc771302481908540e31abb5aeeba |
completed | March 7, 2026, 6:36 a.m. |
| PD | Predicate disambiguation | batch_69abc59b88348190a2d6c08f69974117 |
completed | March 7, 2026, 6:28 a.m. |
| PDg | Predicate description generation | batch_69abc6443c6c8190b932de2abd8eb28f |
completed | March 7, 2026, 6:31 a.m. |
Created at: March 4, 2026, 7:56 p.m.