Triple
T36482233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Women's Soccer |
E898844
|
entity |
| Predicate | competitionLevelRelativeToNWSL |
P192879
|
FINISHED |
| Object | below top-tier professional |
—
|
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: below top-tier professional | Statement: [United Women's Soccer, competitionLevelRelativeToNWSL, below top-tier professional]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: competitionLevelRelativeToNWSL Context triple: [United Women's Soccer, competitionLevelRelativeToNWSL, below top-tier professional]
-
A.
leagueLevelRelativeToNASL
Indicates the comparative competitive tier or status of a league in relation to the NASL (North American Soccer League).
-
B.
includesWomen'sLeagues
Indicates that the subject entity encompasses, offers, or is associated with one or more leagues specifically organized for women.
-
C.
NWSLChampionshipTitle
Indicates that an entity has won a National Women's Soccer League (NWSL) Championship title.
-
D.
competitionLevelOf
Indicates the degree or intensity of competitiveness associated with an entity, event, or context.
-
E.
competitionLevel
Indicates the degree or intensity of competitive pressure or rivalry present in a given context or interaction.
- 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_69f76e5a0e088190a2b6706aeb41723c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fd2cf39b0c8190811b8a6fa9410560 |
completed | May 8, 2026, 12:23 a.m. |
| PD | Predicate disambiguation | batch_69fd2ad8dd988190a9899701ba00d917 |
completed | May 8, 2026, 12:14 a.m. |
| PDg | Predicate description generation | batch_69fd2cf29f808190856ab1d43a51d5c7 |
completed | May 8, 2026, 12:23 a.m. |
Created at: May 3, 2026, 4:10 p.m.