Triple
T12805318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Konak Ferry Terminal |
E306129
|
entity |
| Predicate | operatedBy |
P86
|
FINISHED |
| Object | İZDENİZ |
E307600
|
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: İZDENİZ | Statement: [Konak Ferry Terminal, operatedBy, İZDENİZ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: İZDENİZ Context triple: [Konak Ferry Terminal, operatedBy, İZDENİZ]
-
A.
İZDENİZ
chosen
İZDENİZ is the municipal sea transportation company that operates ferry services within the Gulf of İzmir under the İzmir Metropolitan Municipality.
-
B.
İncesu
İncesu is a town and district in central Turkey known for its historical caravanserai and location within Kayseri Province in Central Anatolia.
-
C.
Dizin
Dizin is one of Iran’s largest and most popular ski resorts, located in the Alborz Mountains north of Tehran.
-
D.
Reçak
Reçak is a village in Kosovo internationally known as the site of the 1999 Račak massacre during the Kosovo War.
-
E.
Zellik
Zellik is a town in the Flemish Brabant province of Belgium, situated just northwest of Brussels and known largely as a residential and light industrial suburb of the capital.
- 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_69d7bdf366888190a8cccb982606889c |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e7f370c8190b3fc39c1b63394c6 |
completed | April 10, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f68ec463f08190822e5235362cf584 |
completed | May 2, 2026, 11:54 p.m. |
Created at: April 9, 2026, 5:30 p.m.