Triple
T35739462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kemal |
E1032990
|
entity |
| Predicate | connectedToRealMuseum |
P93825
|
FINISHED |
| Object | The Museum of Innocence in Istanbul curated by Orhan Pamuk |
—
|
NE NERFINISHED |
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: The Museum of Innocence in Istanbul curated by Orhan Pamuk | Statement: [Kemal, connectedToRealMuseum, The Museum of Innocence in Istanbul curated by Orhan Pamuk]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectedToRealMuseum Context triple: [Kemal, connectedToRealMuseum, The Museum of Innocence in Istanbul curated by Orhan Pamuk]
-
A.
associatedWithMuseum
chosen
Indicates a relationship where an entity has a formal or recognized connection to a museum, such as ownership, curation, exhibition, or institutional affiliation.
-
B.
museumAccess
Indicates that an entity has permission or the ability to enter, use, or otherwise gain admission to a museum.
-
C.
operatesMuseum
Indicates that one entity manages and runs the day-to-day operations of a museum.
-
D.
museumHolds
Indicates that a museum possesses, preserves, or has custody of a particular item or collection within its holdings.
-
E.
conversionToMuseum
Indicates that something is being transformed or repurposed into a museum.
- 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_69f76e10e59081908d81ad9ce22f40b6 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff956dc6548190979171d4b4068d47 |
completed | May 9, 2026, 8:13 p.m. |
| PD | Predicate disambiguation | batch_69ff93dc39c481908a97a12c3ef7dfe7 |
completed | May 9, 2026, 8:06 p.m. |
Created at: May 3, 2026, 4:05 p.m.