Triple
T9779013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ziggurat of Ur |
E237317
|
entity |
| Predicate | dedicatedDeityType |
P85058
|
FINISHED |
| Object | moon god |
—
|
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: moon god | Statement: [Ziggurat of Ur, dedicatedDeityType, moon god]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dedicatedDeityType Context triple: [Ziggurat of Ur, dedicatedDeityType, moon god]
-
A.
typeOfDeity
Indicates that one entity is classified as a specific kind or category of deity in relation to another.
-
B.
deityCategory
chosen
Indicates that one entity is classified as belonging to a particular category or type of deity in relation to another entity.
-
C.
servedDeity
Indicates that one entity acted in service, devotion, or worship toward a particular deity.
-
D.
mainDeity
Indicates that one entity serves as the primary or chief deity worshiped, revered, or associated with another entity (such as a religion, temple, or culture).
-
E.
hasDeity
Indicates that one entity recognizes, worships, or is associated with another entity as its deity or divine figure.
- 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_69ca84d975a08190aab25b02a89bdab3 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda13663f081909b95563038eb6485 |
completed | April 1, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69cd03d77c6c81909b675955bf113320 |
completed | April 1, 2026, 11:39 a.m. |
Created at: March 30, 2026, 8:27 p.m.