Triple
T18049686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hunter’s Moon |
E431897
|
entity |
| Predicate | occursOncePer |
P7174
|
FINISHED |
| Object | year (typically) |
—
|
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: year (typically) | Statement: [Hunter’s Moon, occursOncePer, year (typically)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: occursOncePer Context triple: [Hunter’s Moon, occursOncePer, year (typically)]
-
A.
occursEvery
chosen
Indicates that an event or action happens repeatedly at regular, specified intervals.
-
B.
occursFor
Indicates that an event, process, or condition takes place in relation to, or on behalf of, a particular entity or context.
-
C.
performedAtLeastOnceInLifetime
Indicates that the subject has carried out the specified action or activity at least one time during their entire lifetime.
-
D.
administeredOnce
Indicates that the action of administering something to an entity occurred exactly one time.
-
E.
cannotBeAwardedMultipleTimes
Indicates that the same award or recognition cannot be granted to the same entity more than once.
- 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_69d8b906482481908183315b9ecf9994 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4bff4a6e08190a5ca8d191aa7f0ae |
completed | April 19, 2026, 11:43 a.m. |
| PD | Predicate disambiguation | batch_69e3f908da508190a088aa837ea5b7af |
completed | April 18, 2026, 9:35 p.m. |
Created at: April 10, 2026, 10:25 a.m.