Triple
T2360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IRE Fellow |
E43
|
entity |
| Predicate | honorLevel |
P337
|
FINISHED |
| Object | prestigious |
—
|
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: prestigious | Statement: [IRE Fellow, honorLevel, prestigious]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: honorLevel Context triple: [IRE Fellow, honorLevel, prestigious]
-
A.
honorificRank
Indicates that one entity holds a formal title or honorific status in relation to another entity.
-
B.
hasDivisionLevel
Indicates that one entity is associated with a specific hierarchical or organizational division level of another entity.
-
C.
positionHeld
Indicates that an entity occupies or has occupied a specific role, job, office, or position within an organization or context.
-
D.
awardFor
Indicates that something is given or granted as recognition or a prize for a particular achievement, work, or contribution.
-
E.
awardCriteria
Indicates the standards or conditions used to determine eligibility for receiving an award or recognition.
- 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_69a22cde80848190b62c5f556b4d62ba |
completed | Feb. 27, 2026, 11:46 p.m. |
| NER | Named-entity recognition | batch_69a2346846608190b6b40d31f1dbd685 |
completed | Feb. 28, 2026, 12:18 a.m. |
| PD | Predicate disambiguation | batch_69a233c396ec8190986608d07fb251d4 |
completed | Feb. 28, 2026, 12:16 a.m. |
| PDg | Predicate description generation | batch_69a2346794cc8190afce97b703903389 |
completed | Feb. 28, 2026, 12:18 a.m. |
Created at: Feb. 27, 2026, 11:48 p.m.