Triple
T37422213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WNBA players |
E929887
|
entity |
| Predicate | mayPlayOverseasDuring |
P99007
|
FINISHED |
| Object | WNBA offseason |
—
|
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: WNBA offseason | Statement: [WNBA players, mayPlayOverseasDuring, WNBA offseason]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayPlayOverseasDuring Context triple: [WNBA players, mayPlayOverseasDuring, WNBA offseason]
-
A.
hasPlayedOverseas
chosen
Indicates that an individual has participated in their professional or competitive activity in a country other than their home country.
-
B.
couldServeOverseas
Indicates that an entity has the ability or eligibility to perform service or duties in a foreign or overseas location.
-
C.
allowsForeignPlayers
Indicates that an entity permits participation or involvement by players who are from foreign countries or outside its primary jurisdiction.
-
D.
locatedInOverseasCountry
Indicates that an entity is situated in a country that is overseas relative to a given reference location or jurisdiction.
-
E.
hasPlayedInCountry
Indicates that an entity (typically a person or team) has participated in a game, match, or performance within a specified country.
- 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_69f76ebf0f288190ba198a78341613b8 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb9e1845e881908d19158440cf3b87 |
completed | May 6, 2026, 8:01 p.m. |
| PD | Predicate disambiguation | batch_69fb8d08d6988190a00794ac26078348 |
completed | May 6, 2026, 6:48 p.m. |
Created at: May 3, 2026, 4:16 p.m.