Triple
T11242144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mesopotamian religion |
E266095
|
entity |
| Predicate | hasPantheonStructure |
P98640
|
FINISHED |
| Object | divine assembly |
—
|
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: divine assembly | Statement: [Mesopotamian religion, hasPantheonStructure, divine assembly]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPantheonStructure Context triple: [Mesopotamian religion, hasPantheonStructure, divine assembly]
-
A.
hasPantheonName
Indicates that an entity is associated with a specific pantheon and is identified by the given pantheon name.
-
B.
pantheon
Indicates a relationship where a group of deities collectively belong to or are recognized within the same religious or mythological system.
-
C.
pantheonIncludes
Indicates that a particular deity, figure, or entity is a member of, or belongs to, a specified pantheon.
-
D.
hasClericalStructure
Indicates that an entity possesses an organized clerical or administrative hierarchy or framework.
-
E.
hasTempleOf
Indicates that a location or entity possesses, contains, or is the site of a temple dedicated to a particular deity, figure, or purpose.
- F. None of above. chosen
Provenance (4 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_69d6aac656d48190b275efaa7d6074ee |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e919eaf48190a1457851cfc56afb |
completed | April 9, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69d7878906f48190b63ddc103a0c8f9b |
completed | April 9, 2026, 11:03 a.m. |
| PDg | Predicate description generation | batch_69d796cf74308190a5b29d0dd82954a2 |
completed | April 9, 2026, 12:08 p.m. |
Created at: April 8, 2026, 9:30 p.m.