Triple
T7302285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karaköy |
E167885
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Tophane |
E221497
|
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: Tophane | Statement: [Karaköy, near, Tophane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tophane Context triple: [Karaköy, near, Tophane]
-
A.
Tophane Park
Tophane Park is a historic green area in Bursa, Turkey, known for housing important Ottoman landmarks and offering panoramic views of the city.
-
B.
Eminönü
chosen
Eminönü is a historic waterfront district in Istanbul known for its bustling ferry docks, spice and textile markets, and landmarks like the New Mosque and the Egyptian Bazaar.
-
C.
Zeytinburnu
Zeytinburnu is a densely populated working- and middle-class district on Istanbul’s European side, known as an early industrial area and a key transport hub within the city.
-
D.
Ortahisar
Ortahisar is a town in Turkey’s Cappadocia region, known for its towering rock castle, cave dwellings, and traditional stone architecture.
-
E.
Florya
Florya is a coastal neighborhood in Istanbul, Turkey, known for its residential areas, seaside promenade, and recreational facilities.
- 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_69c6888c820881909fc68f689fe1c251 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6ebb09164819099c4479d48c1688a |
completed | March 27, 2026, 8:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7e558098c819091562566c59332e2 |
completed | March 28, 2026, 2:27 p.m. |
Created at: March 27, 2026, 3:01 p.m.