Triple
T29055427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Urartian mythology |
E735371
|
entity |
| Predicate | hasPantheonSize |
P41138
|
FINISHED |
| Object | over 70 deities |
—
|
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: over 70 deities | Statement: [Urartian mythology, hasPantheonSize, over 70 deities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPantheonSize Context triple: [Urartian mythology, hasPantheonSize, over 70 deities]
-
A.
pantheonSize
Indicates the number of deities or divine figures included within a particular pantheon.
-
B.
hasPantheonName
Indicates that an entity is associated with a specific pantheon and is identified by the given pantheon name.
-
C.
hasPantheonStructure
Indicates that an entity possesses or is associated with a pantheon-like hierarchical structure, typically organizing multiple deities or divine figures.
-
D.
includesPantheon
Indicates that one entity contains or encompasses a particular pantheon as part of its scope or composition.
-
E.
hasNumberOfDeities
chosen
Indicates the specific count of deities associated with an entity, such as a religion, mythology, or belief system.
- 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_69f077e64b88819094d37bdbca8191b3 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69fd474b7e788190a9bb9b542d878f60 |
completed | May 8, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69fd46d8b2f0819099d92d72c902f60e |
completed | May 8, 2026, 2:13 a.m. |
Created at: April 28, 2026, 10:11 a.m.