Triple
T11973025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Papagou |
E284966
|
entity |
| Predicate | hasMunicipalTheatre |
P102579
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Papagou, hasMunicipalTheatre, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMunicipalTheatre Context triple: [Papagou, hasMunicipalTheatre, true]
-
A.
hasTheatreDistrictRole
Indicates that an entity holds a specific role, function, or designation within a theatre district.
-
B.
ownsTheatre
Indicates that one entity has legal ownership or controlling possession of a theatre.
-
C.
hasDomeTheatre
Indicates that an entity includes or is equipped with a dome-shaped theater facility.
-
D.
hasOperaHouse
Indicates that one entity possesses, contains, or is the location of an opera house.
-
E.
isPartOfTheater
Indicates that one entity functions as a component, section, or subdivision within a larger theater (such as a theater building, complex, or organizational unit).
- 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_69d6ab2eaeb881909f7914758f859413 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9039107e48190ae4c4efd6257dd3c |
completed | April 10, 2026, 2:05 p.m. |
| PD | Predicate disambiguation | batch_69d8bb40f30c8190a0e0719bd67542bf |
completed | April 10, 2026, 8:56 a.m. |
| PDg | Predicate description generation | batch_69d8dd0ba0f88190b7d5e358c27ca184 |
completed | April 10, 2026, 11:20 a.m. |
Created at: April 8, 2026, 9:46 p.m.