Triple
T21826972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Medal of Honor ribbon |
E538879
|
entity |
| Predicate | wornInsteadOf |
P14625
|
FINISHED |
| Object | full Medal of Honor neck decoration on some uniforms |
—
|
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: full Medal of Honor neck decoration on some uniforms | Statement: [Medal of Honor ribbon, wornInsteadOf, full Medal of Honor neck decoration on some uniforms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wornInsteadOf Context triple: [Medal of Honor ribbon, wornInsteadOf, full Medal of Honor neck decoration on some uniforms]
-
A.
wornAs
chosen
Indicates that one entity is used or put on as clothing, an accessory, or a wearable item by another entity.
-
B.
wornOver
Indicates that one item of clothing or accessory is positioned on top of and covering another item when worn.
-
C.
wornFor
Indicates that an item is worn for a particular purpose, function, or occasion.
-
D.
wornAt
Indicates that an item is being worn on a specific part of the body or at a particular time or event.
-
E.
isWornBefore
Indicates that one item of clothing or accessory is put on earlier in time than another item.
- 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_69e0c475038c8190abb9b1a20eb8ff50 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f09132ae888190b8c1a8e75b96b5fd |
completed | April 28, 2026, 10:51 a.m. |
| PD | Predicate disambiguation | batch_69e6be815a108190be81d7c987d0c0d6 |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 6:54 p.m.