Triple
T247535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PV |
E5069
|
entity |
| Predicate | honorType |
P4123
|
FINISHED |
| Object | civilian honor |
—
|
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: civilian honor | Statement: [PV, honorType, civilian honor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: honorType Context triple: [PV, honorType, civilian honor]
-
A.
honourType
chosen
Indicates the specific category or classification of an honour or award associated with an entity.
-
B.
honorLevel
Indicates the degree or status of respect, distinction, or recognition accorded to an entity relative to others.
-
C.
honourTypeContext
Indicates the specific situational or cultural context in which an honour or form of respect is expressed or applies.
-
D.
honorificRank
Indicates that one entity holds a formal title or honorific status in relation to another entity.
-
E.
honors
Indicates that one entity shows respect, recognition, or esteem toward another entity, often in a formal or ceremonial way.
- 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_69a257c4bf688190a46ebbf411ab7473 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NER | Named-entity recognition | batch_69a25d154ebc819087a5c9dc4f62ff44 |
completed | Feb. 28, 2026, 3:12 a.m. |
| PD | Predicate disambiguation | batch_69a25b64ea3081908de626a0e1445bdb |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:54 a.m.