Triple

T1734532
Position Surface form Disambiguated ID Type / Status
Subject Velana International Airport E37891 entity
Predicate servesCity P82 FINISHED
Object Malé E159965 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: Malé | Statement: [Velana International Airport, servesCity, Malé]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malé
Context triple: [Velana International Airport, servesCity, Malé]
  • A. Malé chosen
    Malé is the densely populated island city that serves as the political, economic, and cultural center of the Maldives.
  • B. Maleny
    Maleny is a scenic rural town in the Sunshine Coast hinterland of Queensland, Australia, known for its lush rolling hills, dairy farms, arts community, and panoramic views over the Glass House Mountains.
  • C. Melle
    Melle is a town in Lower Saxony, Germany, known for its rural character, historical architecture, and role as a regional economic center.
  • D. Cimla
    Cimla is a residential suburb and community situated near the town of Neath in Neath Port Talbot, South Wales.
  • E. Bad Kleinen
    Bad Kleinen is a small municipality in northern Germany, known historically as the place where philosopher and logician Gottlob Frege died.
  • 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_69a8861cc6ac8190ac0b2e31ccf62851 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa63a2168c819093d302632ff4b7c2 completed March 6, 2026, 5:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8afd15a881909a5d55dd960799d1 completed March 8, 2026, 2:43 p.m.
Created at: March 4, 2026, 7:30 p.m.