Triple
T4826175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ryazan Oblast |
E107829
|
entity |
| Predicate | hasMajorIndustryCenter |
P3436
|
FINISHED |
| Object | Kasimov |
E496392
|
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: Kasimov | Statement: [Ryazan Oblast, hasMajorIndustryCenter, Kasimov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kasimov Context triple: [Ryazan Oblast, hasMajorIndustryCenter, Kasimov]
-
A.
Kasimov
chosen
Kasimov is a historic town in central Russia known for its Tatar heritage, medieval architecture, and location on the Oka River.
-
B.
Kirzhach
Kirzhach is a small historic town in western Russia known for its traditional architecture and location on the Kirzhach River.
-
C.
Yuzovka
Yuzovka was the original name of the industrial settlement in eastern Ukraine that later developed into the city of Donetsk.
-
D.
Kamyshin
Kamyshin is a significant industrial and river port city on the Volga River in southwestern Russia.
-
E.
Syzran
Syzran is a historic industrial city on the Volga River in western Russia, known for its oil refining, engineering industries, and regional transport significance.
- 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_69bd43fac8188190803f0327190621e4 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6caf22308190a2048ec6acfa5af2 |
completed | March 20, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69becfa0b4fc8190bf9ee8abf1684503 |
completed | March 21, 2026, 5:04 p.m. |
Created at: March 20, 2026, 1:24 p.m.