Triple

T12938931
Position Surface form Disambiguated ID Type / Status
Subject Vlora County E309587 entity
Predicate containsTown P847 FINISHED
Object Himarë E309581 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: Himarë | Statement: [Vlora County, containsTown, Himarë]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Himarë
Context triple: [Vlora County, containsTown, Himarë]
  • A. Himarë chosen
    Himarë is a coastal town in southern Albania known for its beaches, historic stone villages, and prominent role as a tourist hub on the Ionian Sea.
  • B. Vurës
    Vurës is an Oceanic language spoken on the island of Vanua Lava in northern Vanuatu.
  • C. Dhërmi
    Dhërmi is a coastal village in southern Albania known for its picturesque beaches, clear turquoise waters, and traditional stone architecture.
  • D. Njimi
    Njimi was an important medieval city that served as the early capital of the Kanem-Bornu Empire in Central Africa.
  • E. Bsharri
    Bsharri is a historic town in northern Lebanon known as the birthplace of poet Khalil Gibran and as a gateway to the nearby Cedars of God forest in the Mount Lebanon range.
  • 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_69f6d5f1023881909cbfe46a89b3e184 completed May 3, 2026, 4:58 a.m.
Created at: April 9, 2026, 5:43 p.m.