Triple
T5600776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WNBA All-Star Game |
E147112
|
entity |
| Predicate | notableFormatChange |
P13888
|
FINISHED |
| Object | Team USA vs Team WNBA format in Olympic years |
—
|
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: Team USA vs Team WNBA format in Olympic years | Statement: [WNBA All-Star Game, notableFormatChange, Team USA vs Team WNBA format in Olympic years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableFormatChange Context triple: [WNBA All-Star Game, notableFormatChange, Team USA vs Team WNBA format in Olympic years]
-
A.
notableChange
chosen
Indicates a significant alteration or shift in the state, condition, or characteristics of an entity or relationship.
-
B.
notableFormat
Indicates that something is particularly recognized or distinguished for being in a specific format.
-
C.
notableRuleChange
Indicates a significant modification to an established rule or set of rules that meaningfully alters how they apply or are enforced.
-
D.
notableCategoryChange
Indicates a significant shift in the classification or category assigned to an entity over time.
-
E.
notableGUIChange
Indicates a significant modification or redesign in a system’s graphical user interface compared to its previous state.
- 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_69c009043d648190a7af89698ccf1e3e |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020da519c81908626b243e40db263 |
completed | March 22, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69c01b1890ec8190b9e6fa488792e4d4 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:38 p.m.