Triple
T4718666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yivli Minaret Mosque |
E104709
|
entity |
| Predicate | locatedInOldTown |
P40
|
FINISHED |
| Object | Kaleiçi |
E86548
|
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: Kaleiçi | Statement: [Yivli Minaret Mosque, locatedInOldTown, Kaleiçi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaleiçi Context triple: [Yivli Minaret Mosque, locatedInOldTown, Kaleiçi]
-
A.
Kaleiçi
chosen
Kaleiçi is the historic old town of Antalya, Turkey, known for its preserved Ottoman-era houses, narrow cobbled streets, and ancient harbor.
-
B.
Koukouli
Koukouli is a traditional stone-built village in the Zagori region of Epirus, Greece, known for its preserved architecture and scenic mountain setting.
-
C.
Kara
Kara is a steel bracelet worn by Sikhs as a religious symbol of unity, restraint, and connection to the divine.
-
D.
Laleia
Laleia is a town in northern Timor-Leste known as the birthplace of independence leader and former president Xanana Gusmão.
-
E.
Koloa Talake
Koloa Talake is a Tuvaluan politician who served as the country's prime minister in the early 2000s.
- 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_69bd43ec4a348190bc41afae43375e71 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd642779a08190b01e588d515cf498 |
completed | March 20, 2026, 3:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be108bc0048190aeea8674f75105e5 |
completed | March 21, 2026, 3:29 a.m. |
Created at: March 20, 2026, 1:18 p.m.