Triple
T4748963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | President's Hundred brassard |
E105430
|
entity |
| Predicate | locationOfWear |
P56454
|
FINISHED |
| Object | upper sleeve |
—
|
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: upper sleeve | Statement: [President's Hundred brassard, locationOfWear, upper sleeve]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locationOfWear Context triple: [President's Hundred brassard, locationOfWear, upper sleeve]
-
A.
wornAtLocation
chosen
Indicates that an item is being worn on or at a specific physical location on a body or object.
-
B.
wornAt
Indicates that an item is being worn on a specific part of the body or at a particular time or event.
-
C.
stainLocation
Indicates the specific place or area where a stain is present or occurs.
-
D.
wornFor
Indicates that an item is worn for a particular purpose, function, or occasion.
-
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_69bd43f07fa48190954317d01600994a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64c6f5ac81908a62f9c17e77ac86 |
completed | March 20, 2026, 3:16 p.m. |
| PD | Predicate disambiguation | batch_69bd6223defc8190823665a6592c1154 |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:20 p.m.