Triple

T16246851
Position Surface form Disambiguated ID Type / Status
Subject Kapesovo E394391 entity
Predicate nearbySettlement P350 FINISHED
Object Tsepelovo E393219 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: Tsepelovo | Statement: [Kapesovo, nearbySettlement, Tsepelovo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tsepelovo
Context triple: [Kapesovo, nearbySettlement, Tsepelovo]
  • A. Tsepelovo chosen
    Tsepelovo is a traditional stone-built mountain village in the Zagori region of Epirus, northwestern Greece, known for its well-preserved architecture and scenic natural surroundings.
  • B. Berestovitsa
    Berestovitsa is a Belarusian town known for its strategic location near the border with Poland, serving as an important regional transport and customs point.
  • C. Balabanovo
    Balabanovo is a small town in western Russia known for its industrial enterprises and location along major transportation routes southwest of Moscow.
  • D. Lyaskovets
    Lyaskovets is a small town in north-central Bulgaria known for its historical monasteries and traditional Bulgarian architecture.
  • E. Dryanovo
    Dryanovo is a small Bulgarian town in the Balkan Mountains, known for its picturesque setting along the Yantra River, nearby Dryanovo Monastery, and surrounding caves and hiking trails.
  • 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_69d87f2171208190951025e526947816 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e245931074819096f38003da70f271 completed April 17, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000ee135b881909cc1b6919bc7af29 completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 5:04 a.m.