Triple

T15093371
Position Surface form Disambiguated ID Type / Status
Subject Paros National Airport E360476 entity
Predicate serves P98 FINISHED
Object Parikia E356063 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: Parikia | Statement: [Paros National Airport, serves, Parikia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Parikia
Context triple: [Paros National Airport, serves, Parikia]
  • A. Parikia chosen
    Parikia is the main port town and administrative center of the Greek island of Paros, known for its traditional Cycladic architecture and historic sites.
  • B. Papandayan
    Papandayan is an active stratovolcano in West Java, Indonesia, known for its steaming fumaroles, sulfur deposits, and scenic crater landscapes.
  • C. Nusa Kode
    Nusa Kode is a small, remote island within Indonesia’s Komodo archipelago, known for its rugged terrain, rich marine life, and populations of Komodo dragons.
  • D. Pakualaman
    Pakualaman is a small hereditary Javanese princely state and court within Yogyakarta, established in the 19th century as a minor parallel to the main sultanate.
  • E. Lumban
    Lumban is a municipality in the Philippine province of Laguna known for its traditional hand-embroidered textiles and scenic lakeside setting along Laguna de Bay.
  • 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_69d85a035aa88190b52a139d3a1b7b6d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0054571a48190a57055c0d6e90f82 completed April 15, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69feae1f406081909d4925474370da86 completed May 9, 2026, 3:46 a.m.
Created at: April 10, 2026, 3:04 a.m.