Triple
T7303534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Çapa Campus |
E167917
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Fatih district |
E131656
|
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: Fatih district | Statement: [Çapa Campus, locatedIn, Fatih district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fatih district Context triple: [Çapa Campus, locatedIn, Fatih district]
-
A.
Fatih district
chosen
Fatih district is a historic central district on Istanbul’s European side, encompassing many of the city’s most significant Byzantine and Ottoman landmarks.
-
B.
Beyoğlu district
Beyoğlu district is a historic and vibrant central area of Istanbul, Turkey, known for its cultural landmarks, nightlife, and cosmopolitan atmosphere.
-
C.
Şişli district
Şişli district is a central and densely populated area on Istanbul’s European side, known for its commercial centers, business districts, and historic neighborhoods.
-
D.
Güzelbahçe district
Güzelbahçe district is a coastal district of İzmir Province in western Turkey, known for its seaside location, residential character, and proximity to the city of İzmir.
-
E.
Bayraklı district
Bayraklı district is a coastal urban area of İzmir, Turkey, known for its modern business centers, high-rise buildings, and role as one of the city’s key commercial and residential hubs.
- 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_69c6888c820881909fc68f689fe1c251 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6ebb352ec8190846eff044e08805e |
completed | March 27, 2026, 8:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c9493bf8088190bc59dd0e36d16a20 |
completed | March 29, 2026, 3:46 p.m. |
Created at: March 27, 2026, 3:01 p.m.