Triple
T26936428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catholic Church in Turkey |
E678397
|
entity |
| Predicate | mainCitiesOfPresence |
P116685
|
FINISHED |
| Object | Istanbul |
—
|
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: Istanbul | Statement: [Catholic Church in Turkey, mainCitiesOfPresence, Istanbul]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainCitiesOfPresence Context triple: [Catholic Church in Turkey, mainCitiesOfPresence, Istanbul]
-
A.
mainCities
chosen
Indicates that the related entities are the primary or most important cities associated with a given region, country, or area.
-
B.
gatheredCities
Indicates that one entity collected or assembled multiple cities together, typically into a group, list, or shared context.
-
C.
includePrincipalCities
Indicates that the relationship or action involves adding or specifying the main or primary cities associated with something.
-
D.
modernCityCorrespondsToCapital
Indicates that a modern city serves as, or corresponds to, the capital of a given political or administrative entity.
-
E.
notableCitiesRepresented
Indicates that an entity includes or features certain cities as particularly important or prominently represented within it.
- 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_69eeeb4cac908190a45956c2993d1cc2 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f69edbb7648190bd89c57e0932eac1 |
completed | May 3, 2026, 1:03 a.m. |
| PD | Predicate disambiguation | batch_69f69d17e8d48190b30bcc2f4bd81eb2 |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 27, 2026, 6:15 a.m.