Triple
T250575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | tinikling |
E5136
|
entity |
| Predicate | footworkPattern |
P6160
|
FINISHED |
| Object | three-step sequence (common basic step) |
—
|
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: three-step sequence (common basic step) | Statement: [tinikling, footworkPattern, three-step sequence (common basic step)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: footworkPattern Context triple: [tinikling, footworkPattern, three-step sequence (common basic step)]
-
A.
legFeathering
Indicates that an entity possesses feathers growing on or covering its legs.
-
B.
movementType
chosen
Indicates the manner or mode in which an entity moves or is moved from one place or state to another.
-
C.
kitPattern
Indicates the design or visual pattern featured on a team's kit or uniform.
-
D.
hasSettlementAtFoot
Indicates that a settlement is located at the base or lower slopes of a geographic feature such as a hill or mountain.
-
E.
hatPattern
Indicates that one entity has a hat characterized by a specific pattern or design.
- 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_69a257c4bf688190a46ebbf411ab7473 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NER | Named-entity recognition | batch_69a25d38aba8819081d0958eb60ce27e |
completed | Feb. 28, 2026, 3:12 a.m. |
| PD | Predicate disambiguation | batch_69a25b665f8c8190aac6fcbba2a0eebb |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:54 a.m.