Triple
T7042759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bebek |
E163551
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object |
Etiler
Etiler is an upscale neighborhood in Istanbul, Turkey, known for its luxury residences, shopping, and dining venues.
|
E639247
|
NE FINISHED |
How this triple was built (4 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: Etiler | Statement: [Bebek, near, Etiler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Etiler Context triple: [Bebek, near, Etiler]
-
A.
Eitel
Eitel is the introspective, spiritually searching protagonist of Norman Mailer’s novel "The Deer Park."
-
B.
Varketili
Varketili is a metro station in Tbilisi, Georgia, serving as a key terminus on the Tbilisi Metro network.
-
C.
Etche
Etche are an ethnic group in southern Nigeria known for their agrarian communities and cultural presence in Rivers State.
-
D.
Tartegnin
Tartegnin is a small wine-producing municipality in the canton of Vaud in western Switzerland, situated above Lake Geneva in the La Côte region.
-
E.
Oetari
Oetari was the first wife of Sukarno (born Kusno Sosrodihardjo), Indonesia’s future first president.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Etiler Triple: [Bebek, near, Etiler]
Generated description
Etiler is an upscale neighborhood in Istanbul, Turkey, known for its luxury residences, shopping, and dining venues.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Etiler Target entity description: Etiler is an upscale neighborhood in Istanbul, Turkey, known for its luxury residences, shopping, and dining venues.
-
A.
Eitel
Eitel is the introspective, spiritually searching protagonist of Norman Mailer’s novel "The Deer Park."
-
B.
Varketili
Varketili is a metro station in Tbilisi, Georgia, serving as a key terminus on the Tbilisi Metro network.
-
C.
Etche
Etche are an ethnic group in southern Nigeria known for their agrarian communities and cultural presence in Rivers State.
-
D.
Tartegnin
Tartegnin is a small wine-producing municipality in the canton of Vaud in western Switzerland, situated above Lake Geneva in the La Côte region.
-
E.
Oetari
Oetari was the first wife of Sukarno (born Kusno Sosrodihardjo), Indonesia’s future first president.
- F. None of above. chosen
Provenance (5 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_69c6885e7c1c8190be32a8f79ab4e0cf |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e235a2e08190bb049ee6e719f0f9 |
completed | March 27, 2026, 8:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7887141ac81909cb5e996a89e4ec5 |
completed | March 28, 2026, 7:51 a.m. |
| NEDg | Description generation | batch_69c78c46ec18819098a6d0b0e6e4ce8b |
completed | March 28, 2026, 8:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c78caca6dc8190bc03d285fbcd7910 |
completed | March 28, 2026, 8:09 a.m. |
Created at: March 27, 2026, 2:36 p.m.