Triple
T2453454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asiatic-Pacific Campaign Medal |
E53760
|
entity |
| Predicate | numberOfCampaignStarsPossible |
P39953
|
FINISHED |
| Object | 21 |
—
|
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: 21 | Statement: [Asiatic-Pacific Campaign Medal, numberOfCampaignStarsPossible, 21]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfCampaignStarsPossible Context triple: [Asiatic-Pacific Campaign Medal, numberOfCampaignStarsPossible, 21]
-
A.
receivedBattleStars
Indicates that an entity has been awarded one or more battle stars for participation in specific military engagements or campaigns.
-
B.
numberOfMissions
Indicates the total count of missions associated with a given entity or context.
-
C.
numberOfBrightNakedEyeStars
Indicates the count of stars that are bright enough to be seen with the naked eye.
-
D.
numberOfStages
Indicates the total count of distinct stages or phases associated with a given process, event, or entity.
-
E.
starCount
Indicates the number of stars associated with an entity, typically representing a rating, quality level, or count of starred items.
- 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_69ab495d227c8190b26ae6548eeb1019 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd2bc7b5481908b3664495e99f1a4 |
completed | March 7, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69abd0aed2688190a18fe66b98d80e0b |
completed | March 7, 2026, 7:15 a.m. |
| PDg | Predicate description generation | batch_69abd2baee308190bdaa41ef1f6bc9cc |
completed | March 7, 2026, 7:24 a.m. |
Created at: March 6, 2026, 9:43 p.m.