Triple
T765064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Temple of Athena Nike |
E16156
|
entity |
| Predicate | predecessorSanctuary |
P97
|
FINISHED |
| Object | earlier shrine of Athena Nike |
—
|
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: earlier shrine of Athena Nike | Statement: [Temple of Athena Nike, predecessorSanctuary, earlier shrine of Athena Nike]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: predecessorSanctuary Context triple: [Temple of Athena Nike, predecessorSanctuary, earlier shrine of Athena Nike]
-
A.
predecessor
chosen
Indicates that one entity comes before another in an ordered sequence or succession.
-
B.
predecessorName
Indicates that the value is the name of an entity that directly precedes another in an ordered sequence or lineage.
-
C.
predecessorSeries
Indicates that one series directly precedes another in an ordered sequence or lineage.
-
D.
predecessorSystem
Indicates that one system existed or was in use before and was replaced or superseded by another system.
-
E.
predecessorAnthem
Indicates that one anthem served as the official or recognized anthem immediately before another anthem.
- 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_69a493684ee48190bd43b7c78da4aec8 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a69dfeb08190b54a476cfa66e6d6 |
completed | March 1, 2026, 8:50 p.m. |
| PD | Predicate disambiguation | batch_69a4a506106081909ef97a679ff00a5a |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.