Triple

T19386090
Position Surface form Disambiguated ID Type / Status
Subject Blue Eye spring E484937 entity
Predicate near P350 FINISHED
Object Gjirokastër 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: Gjirokastër | Statement: [Blue Eye spring, near, Gjirokastër]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gjirokastër
Context triple: [Blue Eye spring, near, Gjirokastër]
  • A. Gjirokastër chosen
    Gjirokastër is a historic stone-built city in southern Albania, recognized as a UNESCO World Heritage Site for its well-preserved Ottoman-era architecture.
  • B. Korçë
    Korçë is a city in southeastern Albania known as a cultural and educational center with rich Orthodox Christian heritage and historic architecture.
  • C. Krujë
    Krujë is a historic town in central Albania known as the stronghold of national hero Skanderbeg and a symbol of Albanian resistance to the Ottoman Empire.
  • D. Kukës
    Kukës is a northeastern Albanian city near the border with Kosovo, known for its mountainous surroundings and its role as a refuge during the Kosovo War.
  • E. Lezhë
    Lezhë is a historic town in northwestern Albania, known as the site of the League of Lezhë and for its cultural and archaeological heritage.
  • 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_69d8e8d460d88190abf0591c5c9d2b0c completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e61b40d1148190b4fcd9ad56aa6910 completed April 20, 2026, 12:25 p.m.
Created at: April 10, 2026, 1:35 p.m.