Triple
T16427872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keban |
E398990
|
entity |
| Predicate | locatedWestOf |
P4239
|
FINISHED |
| Object | Elazığ city |
E442729
|
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: Elazığ city | Statement: [Keban, locatedWestOf, Elazığ city]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elazığ city Context triple: [Keban, locatedWestOf, Elazığ city]
-
A.
Elazığ
chosen
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.
-
B.
Sivas
Sivas is a historic city in central Turkey that served as an important political, commercial, and cultural center in Anatolia, especially during the Seljuk and Ottoman periods.
-
C.
Erzurum
Erzurum is a major city in eastern Turkey known for its historical architecture, harsh winters, and status as a regional cultural and economic center.
-
D.
Diyarbekir
Diyarbekir is a historic city in southeastern Turkey, widely known today as Diyarbakır and notable for its ancient basalt city walls and rich Kurdish and Ottoman heritage.
-
E.
Kilis
Kilis is a small Turkish city near the Syrian border known for its strategic location, cross-border trade, and distinctive regional cuisine.
- 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_69d87f2b9024819085c20e52de95d583 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e328fc223c8190bbed29907351a6f6 |
completed | April 18, 2026, 6:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a009d27712081908530bbf0d9d47e1f |
completed | May 10, 2026, 2:58 p.m. |
Created at: April 10, 2026, 5:09 a.m.