Triple
T35892612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ἴων |
E1038124
|
entity |
| Predicate | resolutionInvolvesDeity |
P16947
|
FINISHED |
| Object | Athena |
—
|
NE NERFINISHED |
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: Athena | Statement: [Ἴων, resolutionInvolvesDeity, Athena]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: resolutionInvolvesDeity Context triple: [Ἴων, resolutionInvolvesDeity, Athena]
-
A.
involvesDeity
chosen
Indicates that the situation, event, or concept has the participation, presence, or relevance of a deity as a central element of the relationship.
-
B.
discussesDeity
Indicates that one entity talks or writes about, analyzes, or otherwise engages in discourse concerning a deity or divine being.
-
C.
divineInteraction
Indicates an interaction or exchange occurring between a divine being (or force) and another entity.
-
D.
involvedReligion
Indicates that an entity is associated with, participates in, or is characterized by a particular religion.
-
E.
hasDeity
Indicates that one entity recognizes, worships, or is associated with another entity as its deity or divine figure.
- 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_69f76e2190f88190beb2eed798a4ef01 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aa3b4914819098a40400cf7f5b31 |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d435288190b30b1991fb003121 |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 3, 2026, 4:06 p.m.