Triple
T34212690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eryx of Sicily |
E877699
|
entity |
| Predicate | religiouslyConnectedTo |
P148765
|
FINISHED |
| Object | cult of Aphrodite at Eryx |
—
|
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: cult of Aphrodite at Eryx | Statement: [Eryx of Sicily, religiouslyConnectedTo, cult of Aphrodite at Eryx]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religiouslyConnectedTo Context triple: [Eryx of Sicily, religiouslyConnectedTo, cult of Aphrodite at Eryx]
-
A.
associatedReligionText
Indicates that there is a textual work (such as a scripture or religious document) that is specifically associated with, or pertains to, a given religion.
-
B.
associatedReligionOrBelief
Indicates that an entity is connected to, identified with, or characterized by a particular religion or belief system.
-
C.
sharesReligionWith
Indicates that two entities follow or are associated with the same religion or religious tradition.
-
D.
religiousInstitutionLinked
chosen
Indicates that there is an established connection or association between a religious institution and another entity.
-
E.
religiousAffiliation
Indicates that one entity has a specified religious association, belief system, or denominational membership.
- 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_69f349b0b4bc819088c1552424089ee9 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff6ef0d61c81909162d37c15a1a3c3 |
completed | May 9, 2026, 5:29 p.m. |
| PD | Predicate disambiguation | batch_69ff6c6a58e08190921317062cd9d489 |
completed | May 9, 2026, 5:18 p.m. |
Created at: May 1, 2026, 1:55 a.m.