Triple
T282143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Temple of Apollo Epicurius at Bassae |
E5374
|
entity |
| Predicate | reasonForEpithet |
P9593
|
FINISHED |
| Object | Apollo worshipped as helper in time of plague |
—
|
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: Apollo worshipped as helper in time of plague | Statement: [Temple of Apollo Epicurius at Bassae, reasonForEpithet, Apollo worshipped as helper in time of plague]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForEpithet Context triple: [Temple of Apollo Epicurius at Bassae, reasonForEpithet, Apollo worshipped as helper in time of plague]
-
A.
reasonForName
Indicates the explanation or cause behind why an entity has a particular name.
-
B.
reasonForNickname
Indicates the explanation or cause behind why a particular nickname was given to an entity.
-
C.
nameGivesRiseTo
Indicates that one name, term, or designation leads to, causes, or results in the emergence or establishment of another.
-
D.
meaningOfNativeName
Indicates that one entity specifies the semantic meaning or translation of another entity’s native-language name.
-
E.
honorificNickname
Indicates that one entity is referred to by a respectful or honorific nickname by another entity or in a given 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_69a257e6c8788190987dfe705ca2912a |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25e0c14b48190a5c936bab36180b3 |
completed | Feb. 28, 2026, 3:16 a.m. |
| PD | Predicate disambiguation | batch_69a25b77e028819087e606fc321219f7 |
completed | Feb. 28, 2026, 3:05 a.m. |
| PDg | Predicate description generation | batch_69a25e06dd7c8190a8cbb76cee3c6e4b |
completed | Feb. 28, 2026, 3:16 a.m. |
Created at: Feb. 28, 2026, 2:59 a.m.