Triple
T5534631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gudermes |
E145130
|
entity |
| Predicate | roadConnectionTo |
P9041
|
FINISHED |
| Object | Kizlyar |
E227590
|
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: Kizlyar | Statement: [Gudermes, roadConnectionTo, Kizlyar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kizlyar Context triple: [Gudermes, roadConnectionTo, Kizlyar]
-
A.
Kizlyar
chosen
Kizlyar is a town in the Republic of Dagestan, Russia, known historically as a frontier settlement and trading center in the North Caucasus region.
-
B.
Bulaq
Bulaq is a historic district of Cairo, Egypt, known for its past role as a major port and commercial hub along the Nile.
-
C.
Khasavyurt
Khasavyurt is a significant urban center in the Republic of Dagestan, Russia, known as an important regional hub in the North Caucasus.
-
D.
Yoshkar-Ola
Yoshkar-Ola is a city in central Russia that serves as the administrative, cultural, and economic center of the Mari El Republic.
-
E.
Cherkessk
Cherkessk is a city in southwestern Russia that serves as the administrative, economic, and cultural center of the Karachay-Cherkess Republic in the North Caucasus.
- 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_69c008f9955881909bfa8348b56b4739 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01fa0141c81909a216be9f48d64e1 |
completed | March 22, 2026, 4:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c02810084c81909fde56d6ee4ad328 |
completed | March 22, 2026, 5:34 p.m. |
Created at: March 22, 2026, 3:34 p.m.