Triple
T20826236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Temple of Hera at Olympia |
E512706
|
entity |
| Predicate | dedicatedToDeityOfType |
P9989
|
FINISHED |
| Object | Greek goddess |
—
|
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: Greek goddess | Statement: [Temple of Hera at Olympia, dedicatedToDeityOfType, Greek goddess]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dedicatedToDeityOfType Context triple: [Temple of Hera at Olympia, dedicatedToDeityOfType, Greek goddess]
-
A.
appliesToDeityIn
Indicates that something (such as a rule, attribute, or statement) is relevant or applicable to a deity within a specified context or domain.
-
B.
hasDeity
Indicates that one entity recognizes, worships, or is associated with another entity as its deity or divine figure.
-
C.
servedDeity
Indicates that one entity acted in service, devotion, or worship toward a particular deity.
-
D.
isDevotedTo
Indicates a strong, enduring commitment or dedication that one entity directs toward another.
-
E.
typeOfDeity
chosen
Indicates that one entity is classified as a specific kind or category of deity in relation to another.
- 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_69e0b4ce39108190a6e8e5df4f1c8dc5 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2fd8480819099930af691d97477 |
completed | April 21, 2026, 12:21 a.m. |
| PD | Predicate disambiguation | batch_69e5c9a1f4f48190aa9fb4ef8f8aea5a |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:41 p.m.