Triple
T250574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | tinikling |
E5136
|
entity |
| Predicate | dancePattern |
P8577
|
FINISHED |
| Object | alternating open-and-close pole movements |
—
|
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: alternating open-and-close pole movements | Statement: [tinikling, dancePattern, alternating open-and-close pole movements]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dancePattern Context triple: [tinikling, dancePattern, alternating open-and-close pole movements]
-
A.
stateDance
Indicates a relationship where a state is associated with or designates an official dance.
-
B.
kitPattern
Indicates the design or visual pattern featured on a team's kit or uniform.
-
C.
hatPattern
Indicates that one entity has a hat characterized by a specific pattern or design.
-
D.
movementType
Indicates the manner or mode in which an entity moves or is moved from one place or state to another.
-
E.
bellPattern
Indicates that one entity exhibits or follows a bell-shaped or bell-like pattern in relation to another entity or variable.
- 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_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. |
| PDg | Predicate description generation | batch_69a25c036b54819090a101c4cbdbcff7 |
completed | Feb. 28, 2026, 3:07 a.m. |
Created at: Feb. 28, 2026, 2:54 a.m.