Triple

T4652084
Position Surface form Disambiguated ID Type / Status
Subject Flores Sea E102318 entity
Predicate borderedBy P224 FINISHED
Object Pantar E148728 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: Pantar | Statement: [Flores Sea, borderedBy, Pantar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pantar
Context triple: [Flores Sea, borderedBy, Pantar]
  • A. Pantar chosen
    Pantar is an island in eastern Indonesia’s Alor archipelago, known for its linguistic diversity and use of several Central Malayo-Polynesian languages.
  • B. Taroa
    Taroa is the main settlement and administrative center of Maloelap Atoll in the Marshall Islands, known historically for its World War II-era Japanese airbase.
  • C. Palaonda
    Palaonda is an indoor ice arena in Bolzano, Italy, primarily used for ice hockey and other sporting and entertainment events.
  • D. Pulaar
    Pulaar is a Fula language variety spoken primarily by the Fula (Fulani) people across West Africa, including in Mauritania, Senegal, and neighboring countries.
  • E. Tayassu
    Tayassu is a genus of New World peccaries, medium-sized pig-like mammals native to Central and South American forests and scrublands.
  • 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_69bd43d71a308190afea7280841b0de8 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd630343f88190954d19fcd18a5864 completed March 20, 2026, 3:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfaeb1ee081909ef641953bdf8df3 completed March 21, 2026, 1:56 a.m.
Created at: March 20, 2026, 1:14 p.m.