Triple
T25300248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krabi-Krabong |
E634324
|
entity |
| Predicate | sharesTechniquesWith |
P116886
|
FINISHED |
| Object | Muay Boran |
—
|
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: Muay Boran | Statement: [Krabi-Krabong, sharesTechniquesWith, Muay Boran]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sharesTechniquesWith Context triple: [Krabi-Krabong, sharesTechniquesWith, Muay Boran]
-
A.
sharesTechnologyWith
Indicates that one entity provides, exchanges, or jointly uses technology with another entity.
-
B.
sharesPracticesWith
chosen
Indicates that two entities engage in or follow similar methods, behaviors, or operational practices.
-
C.
sharesInnovationWith
Indicates that one entity shares or exchanges innovative ideas, methods, or technologies with another entity.
-
D.
sharesInformationWith
Indicates that one entity communicates or provides information to another entity.
-
E.
sharesCompetencesWith
Indicates that two entities possess and can apply the same or overlapping set of skills, abilities, or areas of expertise.
- 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_69e75a972c6481909bc11710e8d30a6c |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f6d0d46aec819091edf97324d793ac |
completed | May 3, 2026, 4:36 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe2183481908ae4e85a59c66f69 |
completed | May 3, 2026, 4:32 a.m. |
Created at: April 21, 2026, 1:24 p.m.