Triple
T6208103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ingushetia |
E138797
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Karabulak |
E533897
|
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: Karabulak | Statement: [Ingushetia, hasCity, Karabulak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karabulak Context triple: [Ingushetia, hasCity, Karabulak]
-
A.
Karabulak
chosen
Karabulak is a town in the Republic of Ingushetia, Russia, situated in the North Caucasus region.
-
B.
Karabağlar
Karabağlar is a populous urban district of İzmir, Turkey, known primarily as a residential and commercial area within the city’s metropolitan region.
-
C.
Karatay
Karatay is a central district and municipality within Turkey’s Konya Province, known for its historical sites and role in the urban core of Konya city.
-
D.
Korkuteli
Korkuteli is a town and district in southwestern Turkey known for its agricultural production and cooler highland climate compared to the coastal areas of Antalya Province.
-
E.
Atakule
Atakule is a prominent observation and communications tower in Ankara, Turkey, known for its panoramic city views and revolving restaurant.
- 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_69c008ada364819096c9e92c74d639b5 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062870d5881909b8d4e33ff31a907 |
completed | March 22, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c16f52829c81909bdd422cbb1eabf4 |
completed | March 23, 2026, 4:50 p.m. |
Created at: March 22, 2026, 4:20 p.m.