Triple
T6087610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Commander by Number |
E135677
|
entity |
| Predicate | decorationWornAs |
P8752
|
FINISHED |
| Object | neck decoration |
—
|
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: neck decoration | Statement: [Commander by Number, decorationWornAs, neck decoration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: decorationWornAs Context triple: [Commander by Number, decorationWornAs, neck decoration]
-
A.
wornAs
Indicates that one entity is used or put on as clothing, an accessory, or a wearable item by another entity.
-
B.
isWearableDecoration
chosen
Indicates that one entity serves as a decorative item intended to be worn on the body by another entity.
-
C.
adornedWith
Indicates that one entity is decorated, embellished, or ornamented by another entity.
-
D.
wornAround
Indicates that one entity is physically worn encircling or surrounding another entity (e.g., around a body part or object).
-
E.
wornAt
Indicates that an item is being worn on a specific part of the body or at a particular time or event.
- 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_69c0087bcc788190b20f093d3a6c60ec |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0578bf2508190859c2dbd4c10b316 |
completed | March 22, 2026, 8:56 p.m. |
| PD | Predicate disambiguation | batch_69c049f3b1ec8190bea67a7bec6442a5 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:12 p.m.