Triple

T21572446
Position Surface form Disambiguated ID Type / Status
Subject Sighnaghi Museum E532316 entity
Predicate locatedIn P40 FINISHED
Object Sighnaghi NE NERFINISHED

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: [Sighnaghi Museum, locatedIn, Sighnaghi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sighnaghi
Context triple: [Sighnaghi Museum, locatedIn, 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. Satala
    Satala is a coastal village and harbor area on the island of Tutuila in American Samoa, known historically as a commercial and maritime hub near the capital region.
  • C. Satala
    Satala was an important Roman military stronghold in ancient Armenia Minor, strategically located near the empire’s eastern frontier.
  • D. Gudermes
    Gudermes is a town in the Chechen Republic of Russia that serves as an important regional transport and administrative center.
  • E. Sighnaghi Municipality
    Sighnaghi Municipality is an administrative district in Georgia’s eastern Kakheti region, known for its historic hilltop town of Sighnaghi, wine production, and views over the Alazani Valley.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c460db088190828c64206a450273 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eee9ce230c81909e12bd59497e2237 completed April 27, 2026, 4:45 a.m.
Created at: April 16, 2026, 6:30 p.m.