Triple
T22498232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surp Hreşdagabet Armenian Church |
E556199
|
entity |
| Predicate | district |
P2709
|
FINISHED |
| Object | Balat |
—
|
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: Balat | Statement: [Surp Hreşdagabet Armenian Church, district, Balat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Balat Context triple: [Surp Hreşdagabet Armenian Church, district, Balat]
-
A.
Balat
chosen
Balat is a historic neighborhood in Istanbul, Turkey, known for its colorful houses, steep cobbled streets, and rich Jewish and multicultural heritage.
-
B.
Balat
Balat is a modern village in western Turkey located near the ruins of the ancient Greek city of Miletus.
-
C.
Balat
Balat is a small historic village in Egypt’s Dakhla Oasis, known for its traditional mud-brick architecture and archaeological remains dating back to the Pharaonic and Islamic periods.
-
D.
Balat
Balat is a surname most notably associated with Alphonse Balat, a prominent 19th-century Belgian architect known for designing the Royal Greenhouses of Laeken.
-
E.
Balçova
Balçova is a coastal district of İzmir, Turkey, known for its thermal springs, residential areas, and proximity to the city center.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e5445bc8190b6a9481926db3355 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15cb3deb88190874230ae06a352d6 |
completed | April 29, 2026, 1:19 a.m. |
Created at: April 16, 2026, 8:50 p.m.