Triple
T1912375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Temple of Ptah |
E38137
|
entity |
| Predicate | hasDeityRole |
P9989
|
FINISHED |
| Object | creator 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: creator god | Statement: [Great Temple of Ptah, hasDeityRole, creator god]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDeityRole Context triple: [Great Temple of Ptah, hasDeityRole, creator god]
-
A.
hasDeity
Indicates that one entity recognizes, worships, or is associated with another entity as its deity or divine figure.
-
B.
representsDeity
Indicates that one entity serves as a symbolic, artistic, or conceptual depiction of a deity associated with another entity.
-
C.
hasDeityGroup
Indicates a relationship where an entity is associated with, or belongs to, a particular group or pantheon of deities.
-
D.
typeOfDeity
chosen
Indicates that one entity is classified as a specific kind or category of deity in relation to another.
-
E.
involvesDeity
Indicates that the situation, event, or concept has the participation, presence, or relevance of a deity as a central element of the relationship.
- 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_69a8862a26088190aae5243695aeefc0 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb34d94fc8190a5bf1e582c77c725 |
completed | March 7, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69abafeba3d88190afcce67483d8625b |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:35 p.m.