Triple
T4584570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great George pendant |
E101936
|
entity |
| Predicate | positionWhenWorn |
P56454
|
FINISHED |
| Object | suspended from the collar |
—
|
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: suspended from the collar | Statement: [Great George pendant, positionWhenWorn, suspended from the collar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionWhenWorn Context triple: [Great George pendant, positionWhenWorn, suspended from the collar]
-
A.
wornAt
Indicates that an item is being worn on a specific part of the body or at a particular time or event.
-
B.
wornAs
Indicates that one entity is used or put on as clothing, an accessory, or a wearable item by another entity.
-
C.
wornAtLocation
chosen
Indicates that an item is being worn on or at a specific physical location on a body or object.
-
D.
wearLocation
Indicates the typical body part or location on which an item is worn.
-
E.
wornAround
Indicates that one entity is physically worn encircling or surrounding another entity (e.g., around a body part or object).
- 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_69bd43d4ce208190b53158c882b222e3 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd59056bb48190ba1e0b5beda9bdc4 |
completed | March 20, 2026, 2:26 p.m. |
| PD | Predicate disambiguation | batch_69bd522acbcc8190bf24d9517793a2c1 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:10 p.m.