Triple
T652390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metonic cycle |
E11371
|
entity |
| Predicate | totalMonths |
P9860
|
FINISHED |
| Object | 235 lunar months |
—
|
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: 235 lunar months | Statement: [Metonic cycle, totalMonths, 235 lunar months]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalMonths Context triple: [Metonic cycle, totalMonths, 235 lunar months]
-
A.
hasMonthCount
chosen
Indicates a relationship where an entity is associated with a specific number of months.
-
B.
hasAverageMonthLength
Indicates that an entity is associated with a specified average length of a month, typically expressed in days.
-
C.
hasMonth
Indicates that something is associated with, occurs in, or is assigned to a specific month.
-
D.
hasVariableMonth
Indicates that something is associated with or occurs in a month that can change rather than being fixed.
-
E.
hasCommonYearMonthCount
Indicates that two entities share the same number of distinct year–month combinations associated with them.
- 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_69a493266a2881909daf4c40f719dee8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49f35acb08190a3a8248023ce07f9 |
completed | March 1, 2026, 8:19 p.m. |
| PD | Predicate disambiguation | batch_69a49d1001088190aa7ca3c8f2ad0e32 |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:36 p.m.