Triple

T1926961
Position Surface form Disambiguated ID Type / Status
Subject Kakhetians E40853 entity
Predicate associatedWithCity P1481 FINISHED
Object Sighnaghi E145746 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: Sighnaghi | Statement: [Kakhetians, associatedWithCity, Sighnaghi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sighnaghi
Context triple: [Kakhetians, associatedWithCity, Sighnaghi]
  • A. Sighnaghi chosen
    Sighnaghi is a picturesque hilltop town in eastern Georgia known for its well-preserved 18th–19th century architecture, views over the Alazani Valley, and role as a popular tourist destination.
  • B. Gudermes
    Gudermes is a town in the Chechen Republic of Russia that serves as an important regional transport and administrative center.
  • C. Akhmeta
    Akhmeta is a town in eastern Georgia known as a local center of the Kakheti region, situated near the foothills of the Greater Caucasus.
  • D. Akhalkalaki
    Akhalkalaki is a town in southern Georgia known as a regional center in the Samtskhe–Javakheti area, historically significant and situated near the country’s border with Armenia.
  • E. Pyatigorsk
    Pyatigorsk is a historic spa and resort city in southern Russia, known for its mineral springs and location in the North Caucasus region.
  • 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_69a8864711648190b07bed24ed76258e completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb261ef8481909be2390ac5a02622 completed March 7, 2026, 5:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3eb5d2c8190b5afd16a822bf0e4 completed March 8, 2026, 10:10 p.m.
Created at: March 4, 2026, 7:35 p.m.