Triple
T7042075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metro line M4 (Istanbul) |
E163536
|
entity |
| Predicate | terminus |
P388
|
FINISHED |
| Object | Tavşantepe |
E169511
|
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: Tavşantepe | Statement: [Metro line M4 (Istanbul), terminus, Tavşantepe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tavşantepe Context triple: [Metro line M4 (Istanbul), terminus, Tavşantepe]
-
A.
Yazili Tepe
Yazili Tepe is a notable rock art site within Azerbaijan’s Gobustan Rock Art Cultural Landscape, featuring ancient petroglyphs and archaeological remains.
-
B.
Anıttepe
Anıttepe is a central hill and neighborhood in Ankara, Turkey, best known as the site of Anıtkabir, the mausoleum of Mustafa Kemal Atatürk.
-
C.
Kabatepe
Kabatepe is a small coastal port on Turkey’s Gallipoli Peninsula, serving as a key ferry terminal and access point to the island of Gökçeada and nearby historic battlefields.
-
D.
Sancaktepe
chosen
Sancaktepe is a rapidly developing residential district located on the Asian side of Istanbul, Turkey.
-
E.
Afyonkarahisar
Afyonkarahisar is a historic city in western Turkey known for its strategic location, thermal springs, and prominent rock fortress overlooking the urban center.
- 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_69c6885e7c1c8190be32a8f79ab4e0cf |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e23440e8819080963fe81cfa0695 |
completed | March 27, 2026, 8:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7887141ac81909cb5e996a89e4ec5 |
completed | March 28, 2026, 7:51 a.m. |
Created at: March 27, 2026, 2:36 p.m.