Triple
T32967589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Woman from Naxos |
E843416
|
entity |
| Predicate | probablePerformanceLocation |
P28981
|
FINISHED |
| Object | Greek-speaking world |
—
|
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: Greek-speaking world | Statement: [The Woman from Naxos, probablePerformanceLocation, Greek-speaking world]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: probablePerformanceLocation Context triple: [The Woman from Naxos, probablePerformanceLocation, Greek-speaking world]
-
A.
intendedPerformanceVenue
Indicates the venue or location where a performance is planned or intended to take place.
-
B.
performerLocation
Indicates that an entity is located at, performing at, or associated with a specific place or venue.
-
C.
hasPerformanceLocation
Indicates that an event, performance, or show takes place at a specified location or venue.
-
D.
laterPerformanceVenue
Indicates that a performance or event took place at this venue at a later time than another referenced performance or venue.
-
E.
possibleLocation
chosen
Indicates that an entity may be located at, or could plausibly occur in, a specified place or spatial context.
- 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_69f3494b9fc48190bb61c955ba471275 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d1a306b88190a14513a21ed4f076 |
completed | May 3, 2026, 4:40 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe5f93c8190995c53dbbe380a32 |
completed | May 3, 2026, 4:32 a.m. |
Created at: May 1, 2026, 1:21 a.m.