Triple
T22400526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2/29th Battalion (Australia) |
E553744
|
entity |
| Predicate | memberAwardedFor |
P148006
|
FINISHED |
| Object | actions at Battle of Muar |
—
|
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: actions at Battle of Muar | Statement: [2/29th Battalion (Australia), memberAwardedFor, actions at Battle of Muar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: memberAwardedFor Context triple: [2/29th Battalion (Australia), memberAwardedFor, actions at Battle of Muar]
-
A.
holderAwardedFor
Indicates that an award holder received the award specifically in recognition of, or as a result of, a particular work, achievement, or contribution.
-
B.
awardedToLeagueMember
Indicates that something (such as an award, honor, or recognition) is given to a member of a specific league.
-
C.
credentialAwardedBy
Indicates that a particular credential is granted or conferred by a specific awarding organization or authority.
-
D.
mayBeAwardedWith
Indicates that an entity has the potential or eligibility to receive a particular award or distinction.
-
E.
awardedFrom
Indicates that one entity has received an award, prize, or honor that originates from or is granted by another entity.
- 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_69e11e4da7048190b4387d422a9a0de5 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f158b39c908190a735aa860d733869 |
completed | April 29, 2026, 1:02 a.m. |
| PD | Predicate disambiguation | batch_69e8989495bc81909d2699fce5992e28 |
completed | April 22, 2026, 9:44 a.m. |
| PDg | Predicate description generation | batch_69e8aa39e3388190b659d59948ebf3e6 |
completed | April 22, 2026, 11 a.m. |
Created at: April 16, 2026, 8:46 p.m.