Triple
T36271619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OM-28 |
E892687
|
entity |
| Predicate | backAndSidesCommonType |
P185080
|
FINISHED |
| Object | East Indian rosewood |
—
|
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: East Indian rosewood | Statement: [OM-28, backAndSidesCommonType, East Indian rosewood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: backAndSidesCommonType Context triple: [OM-28, backAndSidesCommonType, East Indian rosewood]
-
A.
backType
Indicates the type or category of a backing or support associated with an entity.
-
B.
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).
-
C.
hasASideOf
Indicates that one entity possesses or includes a particular side or face as part of its structure or boundary.
-
D.
onSide
Indicates that one entity is positioned along or adjacent to the side of another entity.
-
E.
bodySideMaterial
chosen
Indicates that one entity is the material from which the side portion of another entity’s body is made.
- 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_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bcccd7988190aa5c931ff347d33c |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:09 p.m.