Triple
T38313537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gunantuna |
E1033760
|
entity |
| Predicate | traditionalStaple |
P50559
|
FINISHED |
| Object | coconut |
—
|
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: coconut | Statement: [Gunantuna, traditionalStaple, coconut]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traditionalStaple Context triple: [Gunantuna, traditionalStaple, coconut]
-
A.
traditionalHeir
Indicates that one entity is recognized as the customary or culturally designated inheritor or successor of another entity.
-
B.
traditionalVariety
Indicates that one entity is a traditional or long-established variety, type, or form of another entity.
-
C.
traditionalFat
Indicates that an entity uses or contains a type or amount of fat characteristic of customary or long-established practices.
-
D.
traditionalMaterial
chosen
Indicates that something is made from, incorporates, or is characterized by materials associated with long-established or customary practices.
-
E.
traditionalClothingType
Indicates the type or category of traditional clothing associated with an entity.
- 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_69f76e132c408190969b3d35c04b87ae |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a00037bf4148190a58593d30efdd3f8 |
completed | May 10, 2026, 4:03 a.m. |
| PD | Predicate disambiguation | batch_6a0000b7af608190b718fc4111bcdad8 |
completed | May 10, 2026, 3:51 a.m. |
Created at: May 3, 2026, 4:30 p.m.