Triple
T6981850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shompen people |
E161864
|
entity |
| Predicate | toolMaterial |
P1272
|
FINISHED |
| Object | wood |
—
|
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: wood | Statement: [Shompen people, toolMaterial, wood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: toolMaterial Context triple: [Shompen people, toolMaterial, wood]
-
A.
materialUsed
chosen
Indicates that one entity is made from, incorporates, or utilizes the other entity as its material or substance.
-
B.
bladeType
Indicates the specific kind or category of blade associated with an object or entity.
-
C.
materialFormedIn
Indicates that a material is created, produced, or formed within a specified process, environment, or context.
-
D.
material
Indicates that one entity is physically composed of, made from, or constructed using the substance or material represented by the other entity.
-
E.
isToolOf
Indicates that one entity functions as an instrument or means used by another entity to perform tasks or achieve goals.
- 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_69c68855dc0481909b4c7e9e9ed273db |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6db6d3f3c8190b0121f7934440c34 |
completed | March 27, 2026, 7:33 p.m. |
| PD | Predicate disambiguation | batch_69c6d7c262508190a7708b3d9cf23d7c |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:31 p.m.