Triple
T26150813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Temple of Artemis at Brauron |
E659808
|
entity |
| Predicate | votiveOfferings |
P98895
|
FINISHED |
| Object | clothing of women and girls |
—
|
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: clothing of women and girls | Statement: [Temple of Artemis at Brauron, votiveOfferings, clothing of women and girls]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: votiveOfferings Context triple: [Temple of Artemis at Brauron, votiveOfferings, clothing of women and girls]
-
A.
hasVotiveOfferings
chosen
Indicates that an entity possesses or is associated with votive offerings dedicated or presented in a religious or ritual context.
-
B.
receivesOfferingsOf
Indicates that one entity is the recipient of offerings, tributes, or gifts presented by another entity.
-
C.
viewOfSacrifices
Indicates a perspective, attitude, or evaluative stance that an entity holds toward sacrifices or acts of sacrificing.
-
D.
worshipersOffer
Indicates that worshipers present or dedicate offerings to a deity, sacred figure, or religious object.
-
E.
isOftenOfferedToDeity
Indicates that something is frequently presented or dedicated as an offering to a deity.
- 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_69ee5bc496a88190af7deb7ab5e081de |
completed | April 26, 2026, 6:39 p.m. |
| NER | Named-entity recognition | batch_69f60c0ae26c8190aacd4a8ebbdaae4e |
completed | May 2, 2026, 2:36 p.m. |
| PD | Predicate disambiguation | batch_69f5b0021da88190bdd4cf2698c23edf |
completed | May 2, 2026, 8:04 a.m. |
Created at: April 26, 2026, 8:25 p.m.