Triple
T29044434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bar to the Military Cross |
E738091
|
entity |
| Predicate | wearingConvention |
P165958
|
FINISHED |
| Object | multiple bars indicate multiple subsequent awards |
—
|
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: multiple bars indicate multiple subsequent awards | Statement: [Bar to the Military Cross, wearingConvention, multiple bars indicate multiple subsequent awards]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wearingConvention Context triple: [Bar to the Military Cross, wearingConvention, multiple bars indicate multiple subsequent awards]
-
A.
wearRegulation
Indicates that an entity is subject to and follows specific rules or standards governing what it wears.
-
B.
wearingRegulatedBy
Indicates that the act of wearing something is governed, constrained, or directed by a rule, regulation, or authority.
-
C.
wearingMethod
Indicates the manner or method by which something is worn or put on.
-
D.
wearingClass
Indicates that one entity is wearing or dressed in an item belonging to a particular class or category of clothing or accessories.
-
E.
wearingOrder
Indicates the relative sequence in which items are worn on or over one another (e.g., which garment is worn over or under another).
- 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_69f077efb3848190b41574e1670f6ae2 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f6605fcf7c8190b387ad7b65c9f025 |
completed | May 2, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69f659d297cc8190b2b962ba30a1edb3 |
completed | May 2, 2026, 8:08 p.m. |
| PDg | Predicate description generation | batch_69f65ad638ac8190a17bb987fce53279 |
completed | May 2, 2026, 8:13 p.m. |
Created at: April 28, 2026, 10:03 a.m.