Triple
T12739511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Narlıdere |
E304451
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Güzelbahçe |
E696151
|
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: Güzelbahçe | Statement: [Narlıdere, adjacentTo, Güzelbahçe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Güzelbahçe Context triple: [Narlıdere, adjacentTo, Güzelbahçe]
-
A.
Güzelbahçe
chosen
Güzelbahçe is a coastal district and town on the Aegean Sea, located within Turkey’s İzmir metropolitan area and known for its seaside lifestyle and proximity to the city center.
-
B.
Sarayönü
Sarayönü is a rural district and town in central Turkey, located within Konya Province and known for its agricultural activities on the Central Anatolian plateau.
-
C.
Gölbaşı
Gölbaşı is a district and suburban area of Ankara in central Turkey, known for its lakes, recreational areas, and proximity to the capital city.
-
D.
Bahçelievler
Bahçelievler is a densely populated residential and commercial district on the European side of Istanbul, Turkey.
-
E.
Beştepe
Beştepe is a neighborhood in Ankara, Turkey, best known as the site of the Turkish Presidential Complex.
- 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_69d7bdf1426c8190a4402e1c4cdec33a |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9646dfc908190bc398935d1d23537 |
completed | April 10, 2026, 8:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684eba2508190966d084cc21dc1ea |
completed | May 2, 2026, 11:12 p.m. |
Created at: April 9, 2026, 5:26 p.m.