Triple
T29055264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Musasir |
E735367
|
entity |
| Predicate | hasTheonymicAssociation |
P2830
|
FINISHED |
| Object | Haldi, chief god of Urartu |
—
|
NE NERFINISHED |
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: Haldi, chief god of Urartu | Statement: [Musasir, hasTheonymicAssociation, Haldi, chief god of Urartu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTheonymicAssociation Context triple: [Musasir, hasTheonymicAssociation, Haldi, chief god of Urartu]
-
A.
hasEponymConnectionTo
Indicates that one entity is named after, derived from, or otherwise linguistically or honorifically connected to another entity as its eponym.
-
B.
hasToponymicAssociation
Indicates a relationship where one entity is associated with, derived from, or named after a particular place or geographic name (toponym).
-
C.
isAssociatedWith
chosen
Indicates that there exists a connection, relationship, or involvement between two entities without specifying its exact nature.
-
D.
associatedWithEpithet
Indicates that an entity is linked to or described by a particular epithet or descriptive label.
-
E.
associatedName
Indicates that one entity has an alternative or related name that is linked or connected to another entity.
- 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_69f68a16debc8190a12f5f65ced055d7 |
completed | May 2, 2026, 11:34 p.m. |
| PD | Predicate disambiguation | batch_69f6860def1c81909d79e1f088c4b5e5 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 28, 2026, 10:11 a.m.