Triple
T13223606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanctuary of Demeter at Megara |
E314817
|
entity |
| Predicate | deityTypeVenerated |
P85058
|
FINISHED |
| Object | Olympian 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: Olympian goddess | Statement: [Sanctuary of Demeter at Megara, deityTypeVenerated, Olympian goddess]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: deityTypeVenerated Context triple: [Sanctuary of Demeter at Megara, deityTypeVenerated, Olympian goddess]
-
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.
deityIdentification
Indicates that one entity is identified, recognized, or designated as a deity in relation to another entity or context.
-
D.
venerationType
Indicates the specific manner or category of reverence or worship directed toward an entity.
-
E.
veneratedBy
Indicates that one entity is regarded with deep respect, reverence, or worship by another entity.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf74d708190a61d8ad938653b06 |
completed | April 10, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69d98bc938f081909f123bdf1263ff7f |
completed | April 10, 2026, 11:46 p.m. |
Created at: April 9, 2026, 9:19 p.m.