Triple
T24972380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Altun Ha |
E624927
|
entity |
| Predicate | hasDeityRepresentation |
P5782
|
FINISHED |
| Object | Kinich Ahau |
—
|
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: Kinich Ahau | Statement: [Altun Ha, hasDeityRepresentation, Kinich Ahau]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDeityRepresentation Context triple: [Altun Ha, hasDeityRepresentation, Kinich Ahau]
-
A.
hasDeity
Indicates that one entity recognizes, worships, or is associated with another entity as its deity or divine figure.
-
B.
representsDeity
chosen
Indicates that one entity serves as a symbolic, artistic, or conceptual depiction of a deity associated with another entity.
-
C.
hasDeities
Indicates that one entity possesses, is associated with, or is served by one or more deities.
-
D.
depictedWithDeity
Indicates that an entity is shown or represented together with a particular deity in some form of depiction.
-
E.
depictedDeity
Indicates that one entity is a deity who is shown or represented in an image, artwork, or visual depiction associated with 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_69e2ff24512481908e9a72315b8d0354 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f62d89b89c8190afb372a8172111e7 |
completed | May 2, 2026, 4:59 p.m. |
| PD | Predicate disambiguation | batch_69f62c1379f08190836c3e02b0c892df |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 18, 2026, 6:01 a.m.