Triple
T36271596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | D-18 |
E892686
|
entity |
| Predicate | bodyBackMaterial |
P618
|
FINISHED |
| Object | mahogany |
—
|
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: mahogany | Statement: [D-18, bodyBackMaterial, mahogany]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bodyBackMaterial Context triple: [D-18, bodyBackMaterial, mahogany]
-
A.
hasBackCoverMaterial
Indicates that one entity uses or is made of a specified material for the back cover of an item.
-
B.
buttstockMaterial
Indicates the material from which the buttstock of an object (typically a firearm) is made.
-
C.
materialUsed
Indicates that one entity is made from, incorporates, or utilizes the other entity as its material or substance.
-
D.
legMaterial
Indicates that the material composition of a leg (e.g., of a piece of furniture or structure) is a specified substance or material.
-
E.
material
chosen
Indicates that one entity is physically composed of, made from, or constructed using the substance or material represented by the other 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_69f76e488f34819083e254dbe288c27a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7ba6d06f48190a71b5a2f19e2232f |
completed | May 3, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a4aad48190a62e41c5e39339d9 |
completed | May 3, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:09 p.m.