Triple

T20873010
Position Surface form Disambiguated ID Type / Status
Subject DH E513941 entity
Predicate regionServed P82 FINISHED
Object Kupang NE NERFINISHED

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: Kupang | Statement: [DH, regionServed, Kupang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kupang
Context triple: [DH, regionServed, Kupang]
  • A. Kupang chosen
    Kupang is the capital and largest city of Indonesia’s East Nusa Tenggara province, located on the western part of Timor Island and serving as a key regional port and administrative center.
  • B. Sorong
    Sorong is a coastal city in West Papua, Indonesia, serving as the primary transport and logistical hub for travelers heading to the Raja Ampat Islands.
  • C. Kota Marudu
    Kota Marudu is a town and district in northern Sabah, Malaysia, known for its diverse indigenous communities, agriculture, and coastal proximity to Marudu Bay.
  • D. Kavieng
    Kavieng is a coastal town in Papua New Guinea known as the main urban and commercial center of New Ireland Province and a gateway to nearby islands and dive sites.
  • E. Ambon
    Ambon is a major city and port in eastern Indonesia, known as an administrative, economic, and cultural hub in the Maluku region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4f675cc8190b4e745225b62eb66 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c465693881909fe4c756ddc4f291 completed April 21, 2026, 12:27 a.m.
Created at: April 16, 2026, 12:45 p.m.