Triple
T17129898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Athenian religious calendar |
E415692
|
entity |
| Predicate | hadNumberOfMonths |
P9860
|
FINISHED |
| Object | 12 or 13 |
—
|
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: 12 or 13 | Statement: [Athenian religious calendar, hadNumberOfMonths, 12 or 13]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadNumberOfMonths Context triple: [Athenian religious calendar, hadNumberOfMonths, 12 or 13]
-
A.
hasMonthCount
chosen
Indicates a relationship where an entity is associated with a specific number of months.
-
B.
hasMonth
Indicates that something is associated with, occurs in, or is assigned to a specific month.
-
C.
usualMonthHeld
Indicates the month in which an event or activity is typically or customarily held.
-
D.
hasVariableMonth
Indicates that something is associated with or occurs in a month that can change rather than being fixed.
-
E.
hadNumberOfMembers
Indicates that an entity possessed or was associated with a specific count of members at a given time or in a given context.
- 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_69d886d15af4819092f92f8a129763e6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f0291ee881908fb10a8ccd7faa41 |
completed | April 18, 2026, 8:57 p.m. |
| PD | Predicate disambiguation | batch_69e3830192ac819091344a9e5a36c8c9 |
completed | April 18, 2026, 1:11 p.m. |
Created at: April 10, 2026, 5:36 a.m.