Triple
T16151138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European side of Istanbul |
E391910
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Esenler |
E689710
|
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: Esenler | Statement: [European side of Istanbul, hasPart, Esenler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Esenler Context triple: [European side of Istanbul, hasPart, Esenler]
-
A.
Esenler
chosen
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.
-
B.
Ataşehir
Ataşehir is a modern residential and business district on the Asian side of Istanbul, known for its high-rise developments and financial centers.
-
C.
Sultanbeyli
Sultanbeyli is a densely populated, predominantly residential district on the Asian side of Istanbul, known for its rapid urbanization and working-class character.
-
D.
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.
-
E.
Yenimahalle
Yenimahalle is a major district of Ankara, Turkey, known for hosting key government institutions and residential areas within the capital.
- 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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21d981950819087fdacc7879dca97 |
completed | April 17, 2026, 11:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003548837c819091695a91f88bd0bc |
completed | May 10, 2026, 7:35 a.m. |
Created at: April 10, 2026, 5:01 a.m.