Triple
T5491958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asian Turkey |
E123721
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Ağrı |
E311030
|
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: Ağrı | Statement: [Asian Turkey, containsCity, Ağrı]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ağrı Context triple: [Asian Turkey, containsCity, Ağrı]
-
A.
Ağrı
chosen
Ağrı is a city in eastern Turkey known as a regional center near Mount Ararat, close to the borders with Iran and Armenia.
-
B.
Ağrı Province
Ağrı Province is a mountainous region in eastern Turkey best known as the location of Mount Ararat, the country’s highest and most iconic peak.
-
C.
Palandöken
Palandöken is a district and popular ski resort area in eastern Turkey, located near the city of Erzurum in Erzurum Province.
-
D.
Elazığ
Elazığ is a city in eastern Turkey known as a regional center near the Euphrates River and the Keban Dam, with a history shaped by both ancient civilizations and modern development.
-
E.
Uludağ Mountain
Uludağ Mountain is a prominent peak in northwestern Turkey known for its national park, rich biodiversity, and major ski resort overlooking the city of Bursa.
- 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_69bd464a2d908190869324ce176779c8 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd9280403c8190baaa3f7923449a37 |
completed | March 20, 2026, 6:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf6c8fb5688190b29f27ce13324943 |
completed | March 22, 2026, 4:14 a.m. |
Created at: March 20, 2026, 2:10 p.m.