Triple
T11279729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanctuary of Aphrodite at Locri Epizephyrii |
E267031
|
entity |
| Predicate | hasVotiveOfferings |
P98895
|
FINISHED |
| Object | terracotta plaques |
—
|
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: terracotta plaques | Statement: [Sanctuary of Aphrodite at Locri Epizephyrii, hasVotiveOfferings, terracotta plaques]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVotiveOfferings Context triple: [Sanctuary of Aphrodite at Locri Epizephyrii, hasVotiveOfferings, terracotta plaques]
-
A.
isOftenOfferedToDeity
Indicates that something is frequently presented or dedicated as an offering to a deity.
-
B.
hasAltarDedication
Indicates that an altar is dedicated to, in honor of, or in association with a particular entity or purpose.
-
C.
hasAltar
Indicates that one entity possesses, contains, or includes an altar as part of its features or components.
-
D.
worshipersOffer
Indicates that worshipers present or dedicate offerings to a deity, sacred figure, or religious object.
-
E.
hasRituals
Indicates that one entity performs, observes, or is associated with specific rituals in relation to another entity or context.
- F. None of above. chosen
Provenance (4 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_69d6aac8c2f48190ad0596f1f89f0470 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e969b3448190940e2bd499d2d7de |
completed | April 9, 2026, 6:01 p.m. |
| PD | Predicate disambiguation | batch_69d787a240588190aa097298f951c915 |
completed | April 9, 2026, 11:04 a.m. |
| PDg | Predicate description generation | batch_69d796cf74308190a5b29d0dd82954a2 |
completed | April 9, 2026, 12:08 p.m. |
Created at: April 8, 2026, 9:31 p.m.