Triple
T24825794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Commander of the Order of Military Merit |
E621184
|
entity |
| Predicate | awardedForRankTypically |
P96543
|
FINISHED |
| Object | senior officers |
—
|
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: senior officers | Statement: [Commander of the Order of Military Merit, awardedForRankTypically, senior officers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardedForRankTypically Context triple: [Commander of the Order of Military Merit, awardedForRankTypically, senior officers]
-
A.
hasLowerRankAward
Indicates that one award has a lower rank or level of distinction compared to another award.
-
B.
grantsRank
Indicates that one entity confers or assigns a particular rank, status, or level to another entity.
-
C.
awardOrRanking
Indicates that there is an award, honor, or ranking status conferred on or associated with an entity.
-
D.
isOftenAwardedTo
chosen
Indicates that something is frequently given as an award or honor to a particular recipient.
-
E.
eligibleRank
Indicates that an entity meets the required rank or level criteria to qualify for a specific role, action, or benefit.
- 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_69e2fac0c3b881909110e5a56c6fa46f |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f48b9b687881908fd87a2f5fa0b1e7 |
completed | May 1, 2026, 11:16 a.m. |
| PD | Predicate disambiguation | batch_69f48060597c8190a4414e4e4fcb1fec |
completed | May 1, 2026, 10:28 a.m. |
Created at: April 18, 2026, 5:05 a.m.