Triple
T5919161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phanar Greek Orthodox College |
E131658
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Fener |
E125045
|
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: Fener | Statement: [Phanar Greek Orthodox College, locatedIn, Fener]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fener Context triple: [Phanar Greek Orthodox College, locatedIn, Fener]
-
A.
Fener
chosen
Fener is a historic neighborhood in Istanbul, Turkey, known for its Greek Orthodox heritage and landmarks such as the Ecumenical Patriarchate and traditional Ottoman-era houses.
-
B.
Karşıyaka
Karşıyaka is a populous coastal district of İzmir, Turkey, known for its vibrant urban life, historic neighborhoods, and strong local sports culture.
-
C.
Murça
Murça is a small municipality in northern Portugal, known for its wine production and location within the Douro region.
-
D.
Nuri
Nuri is an ancient archaeological site in northern Sudan that served as a royal necropolis for Nubian kings and queens, featuring a significant concentration of Kushite pyramids.
-
E.
Gazi
Gazi is an honorific title in Turkey, historically bestowed for distinguished military valor and sacrifice in war.
- 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_69c0085a1ed08190a7e9a8b6323fd680 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c038003c408190b2a89df0b759dcbf |
completed | March 22, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c03a95688190bfd51d7ada1e538f |
completed | March 23, 2026, 4:23 a.m. |
Created at: March 22, 2026, 4 p.m.