Triple

T12938974
Position Surface form Disambiguated ID Type / Status
Subject SH8 E309588 entity
Predicate passesThrough P225 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: [SH8, passesThrough, Dhermi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dhermi
Context triple: [SH8, passesThrough, 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. 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.
  • D. 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.
  • E. Tepelenë
    Tepelenë is a small town in southern Albania, known historically as the birthplace of Ottoman Albanian ruler Ali Pasha and for its strategic position near the Vjosa River.
  • 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_69d7bdfa933c8190b5a27aa4a08a19b7 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97dc8c0848190946e109ec98e4479 completed April 10, 2026, 10:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e264475c8190940f83c57f51585d completed May 3, 2026, 5:51 a.m.
Created at: April 9, 2026, 5:43 p.m.