Triple
T22237696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elephantine triad |
E549633
|
entity |
| Predicate | memberRole_Anuket |
P140096
|
FINISHED |
| Object | goddess of the Nile’s flow and nourishment |
—
|
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: goddess of the Nile’s flow and nourishment | Statement: [Elephantine triad, memberRole_Anuket, goddess of the Nile’s flow and nourishment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: memberRole_Anuket Context triple: [Elephantine triad, memberRole_Anuket, goddess of the Nile’s flow and nourishment]
-
A.
memberRole_5
Indicates that an entity holds a specific role or position within a particular group, organization, or membership context.
-
B.
memberRole_3
Indicates that an entity holds a specific role or position as a member within a group, organization, or context.
-
C.
unionRole
Indicates that an entity holds or is assigned a specific role within a labor union or similar collective organization.
-
D.
knownMemberRole
chosen
Indicates that an entity is recognized as holding a specific role or position within a group, organization, or membership context.
-
E.
associatedRoleOfHathor
Indicates a role or function that is linked or attributed to the entity Hathor.
- 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_69e11e4102b881909cf47d3768e25c19 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f13210eb9c8190bc40d06c393e0d9a |
completed | April 28, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69e71b5177d881908f90abde14ada7dc |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 8:38 p.m.