Triple
T32535752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Premier 5 tournaments |
E831583
|
entity |
| Predicate | formerNameOfTier |
P200368
|
FINISHED |
| Object | WTA 1000 (non-Mandatory) tournaments |
—
|
NE NERFINISHED |
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: WTA 1000 (non-Mandatory) tournaments | Statement: [Premier 5 tournaments, formerNameOfTier, WTA 1000 (non-Mandatory) tournaments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerNameOfTier Context triple: [Premier 5 tournaments, formerNameOfTier, WTA 1000 (non-Mandatory) tournaments]
-
A.
formerName
Indicates that an entity was previously known by a different name in the past.
-
B.
historicalThirdTierName
Indicates that an entity previously held a third-tier name or designation in a historical naming or ranking system.
-
C.
formerMemberName
Indicates that the referenced name belongs to an entity that was previously a member of a particular group, organization, or body but is no longer one.
-
D.
formerNameOfSeriesCompetedIn
Indicates that an entity was previously known by a different series name under which it competed.
-
E.
formerNameOfRegion
Indicates that one name was previously used for a region that is now known by a different name.
- 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_69f34924b1cc8190ad3aca0c0f012a7e |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69ff84df768c81908c65a1a7e33103ad |
completed | May 9, 2026, 7:02 p.m. |
| PD | Predicate disambiguation | batch_69ff848d0af881908ee42c27a58af47e |
completed | May 9, 2026, 7:01 p.m. |
| PDg | Predicate description generation | batch_69ff84dec2848190b67a497d025c8880 |
completed | May 9, 2026, 7:02 p.m. |
Created at: May 1, 2026, 1:01 a.m.