Triple
T37665192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | End rod |
E937804
|
entity |
| Predicate | canBeUsedForDecoration |
P200274
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [End rod, canBeUsedForDecoration, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeUsedForDecoration Context triple: [End rod, canBeUsedForDecoration, true]
-
A.
canBeUsed
Indicates that one entity is suitable or available to serve a particular function, purpose, or role in relation to another entity or context.
-
B.
isWearableDecoration
Indicates that one entity serves as a decorative item intended to be worn on the body by another entity.
-
C.
hasDecor
Indicates that one entity possesses, features, or is adorned with a particular decorative element or style.
-
D.
isNonCombatDecoration
Indicates that an award or decoration is given for non-combat service or achievements rather than for participation in direct combat.
-
E.
containsDecorationFrom
Indicates that one entity includes or incorporates a decorative element that originates from another entity.
- 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_69f76ed6df7c8190b018e5baea716ceb |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ff7dcedab08190a719a707d03306e2 |
completed | May 9, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69ff7d0119348190ad462554e81190fe |
completed | May 9, 2026, 6:29 p.m. |
| PDg | Predicate description generation | batch_69ff7dce25d88190b167a014661bc4ba |
completed | May 9, 2026, 6:32 p.m. |
Created at: May 3, 2026, 4:18 p.m.