Triple

T2569914
Position Surface form Disambiguated ID Type / Status
Subject Eastern Georgia E57639 entity
Predicate containsCity P294 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: [Eastern Georgia, containsCity, Sighnaghi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sighnaghi
Context triple: [Eastern Georgia, containsCity, 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_69ab4a51410081908501dcf8bad9adc4 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd382928c8190b6316f3db48d8e73 completed March 7, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69af656d7dec81909ea0aae4506cf4e3 completed March 10, 2026, 12:27 a.m.
Created at: March 6, 2026, 9:48 p.m.