Triple
T36271597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | D-18 |
E892686
|
entity |
| Predicate | bodySideMaterial |
P185080
|
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, bodySideMaterial, mahogany]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bodySideMaterial Context triple: [D-18, bodySideMaterial, mahogany]
-
A.
earsMaterial
Indicates that the material composition of an entity’s ears is a specified substance or material.
-
B.
saddleMaterial
Indicates the material from which a saddle is made or constructed.
-
C.
bodySideOrientation
Indicates the spatial relationship of an entity with respect to the left, right, or bilateral side of a body.
-
D.
sideType
Indicates the specific role or position an entity occupies within a two-sided or multi-sided relationship (e.g., buyer vs. seller, left vs. right side).
-
E.
legMaterial
Indicates that the material composition of a leg (e.g., of a piece of furniture or structure) is a specified substance or material.
- 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_69f76e488f34819083e254dbe288c27a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7bb1d6b70819091227bd011734d19 |
completed | May 3, 2026, 9:16 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a4aad48190a62e41c5e39339d9 |
completed | May 3, 2026, 9:09 p.m. |
| PDg | Predicate description generation | batch_69f7ba6c27e081908868a2b50d1d603c |
completed | May 3, 2026, 9:13 p.m. |
Created at: May 3, 2026, 4:09 p.m.