Triple
T12123976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Assembly of the Demos |
E288760
|
entity |
| Predicate | convenesAtFrequency |
P2557
|
FINISHED |
| Object | around 40 times per year in the classical period |
—
|
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: around 40 times per year in the classical period | Statement: [Assembly of the Demos, convenesAtFrequency, around 40 times per year in the classical period]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: convenesAtFrequency Context triple: [Assembly of the Demos, convenesAtFrequency, around 40 times per year in the classical period]
-
A.
convenesOn
Indicates that an event, group, or body holds a meeting or session at a specific time or date.
-
B.
convenesIn
Indicates that an entity brings together or assembles a group, meeting, or event at a specific place or venue.
-
C.
meetingFrequency
chosen
Indicates how often a meeting or recurring gathering takes place over a given period.
-
D.
convenesDuring
Indicates that one entity formally gathers or brings together another entity or group during a specified time period or event.
-
E.
convenesBefore
Indicates that one event or gathering is convened and completed before another specified event or gathering begins.
- 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_69d6ab4b5e4c81909950b17151eb0951 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91841615c819097f20a7447a1b8f4 |
completed | April 10, 2026, 3:33 p.m. |
| PD | Predicate disambiguation | batch_69d91508f8008190b3a90ec0bf0953ca |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:49 p.m.