Triple
T7862161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Istanbul Province |
E182524
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object | Ataşehir |
E191464
|
NE 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: Ataşehir | Statement: [Istanbul Province, hasDistrict, Ataşehir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ataşehir Context triple: [Istanbul Province, hasDistrict, Ataşehir]
-
A.
Ataşehir
chosen
Ataşehir is a modern residential and business district on the Asian side of Istanbul, known for its high-rise developments and financial centers.
-
B.
Kartal
Kartal is a coastal district on the Asian side of Istanbul, known for its residential neighborhoods, seaside promenade, and growing business and transportation hubs.
-
C.
Esenler
Esenler is a densely populated working- and middle-class district on Istanbul’s European side, known as a major transportation hub with extensive bus and metro connections.
-
D.
Kabataş
Kabataş is a coastal neighborhood in Istanbul, Turkey, known as a major transportation hub with ferry, tram, and funicular connections along the Bosphorus.
-
E.
Ümraniye
Ümraniye is a densely populated residential and commercial district located on the Asian side of Istanbul, Turkey.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca82887fd48190975896bf38c4596b |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb36be5f408190b82a097b0825c57a |
completed | March 31, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce01c37978819090922f7fc273edc9 |
completed | April 2, 2026, 5:42 a.m. |
Created at: March 30, 2026, 4:53 p.m.