Triple
T28314756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Archaeological Museum of Kastellorizo |
E714102
|
entity |
| Predicate | islandMuseum |
P29204
|
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: [Archaeological Museum of Kastellorizo, islandMuseum, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: islandMuseum Context triple: [Archaeological Museum of Kastellorizo, islandMuseum, true]
-
A.
museumAt
Indicates that an entity (such as an exhibit, artifact, or event) is located at or associated with a particular museum.
-
B.
museumCity
Indicates the city in which a given museum is located.
-
C.
hasMaritimeMuseum
Indicates that one entity possesses, hosts, or includes a maritime museum as part of its features or facilities.
-
D.
islandOf
chosen
Indicates that one place is an island belonging to, located within, or geographically associated with another specified area or body of land/water.
-
E.
partOfIsland
Indicates that one entity is a portion or component of an island.
- 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_69efb5256afc8190b9322d25c3ae6320 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f65876c52c8190bc889c7a67bd07f3 |
completed | May 2, 2026, 8:03 p.m. |
| PD | Predicate disambiguation | batch_69f6575d89788190aca478e4aea05a65 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 27, 2026, 11:42 p.m.