Triple
T12739182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | İzmir ESHOT bus network |
E304442
|
entity |
| Predicate | serviceAreaIncludes |
P82
|
FINISHED |
| Object | Dikili |
E696147
|
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: Dikili | Statement: [İzmir ESHOT bus network, serviceAreaIncludes, Dikili]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dikili Context triple: [İzmir ESHOT bus network, serviceAreaIncludes, Dikili]
-
A.
Dikili
chosen
Dikili is a coastal town and district in western Turkey known for its beaches, thermal springs, and proximity to the Aegean Sea.
-
B.
Kocaali
Kocaali is a coastal town and district in northwestern Turkey, situated along the Black Sea in Sakarya Province.
-
C.
Dikwa
Dikwa is a historic town in northeastern Nigeria that once served as a key political and administrative center of the Borno Empire.
-
D.
Halkapınar
Halkapınar is a small rural district and municipality in central Turkey’s Konya Province, known for its agricultural character and proximity to the Taurus Mountains.
-
E.
Halkapınar
Halkapınar is a major transport hub and urban area in İzmir, Turkey, known for its extensive rail and tram connections.
- 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_69d9646cfcac81909283dca987755c0e |
completed | April 10, 2026, 8:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c8ff57c8190a935b5c9f4bb5aa3 |
completed | May 2, 2026, 10:37 p.m. |
Created at: April 9, 2026, 5:26 p.m.