Triple

T13190608
Position Surface form Disambiguated ID Type / Status
Subject Gjipe Beach E313974 entity
Predicate locatedBetween P1262 FINISHED
Object Dhermi E1011818 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: Dhermi | Statement: [Gjipe Beach, locatedBetween, Dhermi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dhermi
Context triple: [Gjipe Beach, locatedBetween, Dhermi]
  • A. Dhërmi chosen
    Dhërmi is a coastal village in southern Albania known for its picturesque beaches, clear turquoise waters, and traditional stone architecture.
  • B. Vurës
    Vurës is an Oceanic language spoken on the island of Vanua Lava in northern Vanuatu.
  • C. Kardhiq
    Kardhiq is a small village in southern Albania known for its historical significance and traditional stone architecture within Gjirokastër County.
  • D. Pejë
    Pejë is a historic city in western Kosovo known for its Ottoman-era architecture and proximity to the Rugova Canyon in the Accursed Mountains.
  • E. Vorë
    Vorë is a small municipality and town in central Albania, situated near the capital Tirana and serving as a local administrative and transport hub in the 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_69d806ae1e08819090d95bfe1538cc17 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c600ab48190bcf84aaf5846fb4b completed April 10, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f716c1080c81908057f92f320a855b completed May 3, 2026, 9:34 a.m.
Created at: April 9, 2026, 9:15 p.m.