Triple
T15024917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Celâl Bayar |
E378184
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object | Gemlik |
E617866
|
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: Gemlik | Statement: [Celâl Bayar, birthPlace, Gemlik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gemlik Context triple: [Celâl Bayar, birthPlace, Gemlik]
-
A.
Gemlik
chosen
Gemlik is a coastal town and district in Bursa Province, northwestern Turkey, known for its port on the Sea of Marmara and its olive production.
-
B.
Suşehri
Suşehri is a town and district in northeastern Turkey known for its location within Sivas Province and its surrounding mountainous landscape.
-
C.
Güzelyurt
Güzelyurt is a town in the northwestern part of Cyprus, known for its citrus orchards and archaeological sites.
-
D.
Güzelyurt
Güzelyurt is a historic town in Turkey’s Cappadocia region, known for its rock-cut churches, underground cities, and scenic valleys.
-
E.
Gümüldür
Gümüldür is a coastal neighborhood and popular seaside resort area in the Menderes district of İzmir Province, 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7de117c8190a1b9fa8d1602057e |
completed | April 15, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff28b707481908611ae8e23de3294 |
completed | May 10, 2026, 2:50 a.m. |
Created at: April 10, 2026, 2:56 a.m.