Triple

T1479703
Position Surface form Disambiguated ID Type / Status
Subject Nusa Tenggara E30923 entity
Predicate contains P35 FINISHED
Object Kupang E124162 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: Kupang | Statement: [Nusa Tenggara, contains, Kupang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kupang
Context triple: [Nusa Tenggara, contains, 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. Ambon
    Ambon is a major city and port in eastern Indonesia, known as an administrative, economic, and cultural hub in the Maluku region.
  • C. Macassar
    Macassar is the former name of Makassar, a major port city on the island of Sulawesi in Indonesia known historically as an important center of trade and maritime power.
  • D. Ternate
    Ternate is a small volcanic island and city in eastern Indonesia that was historically a major center of the global spice trade, especially for cloves.
  • E. Rabaul
    Rabaul is a town on the island of New Britain in Papua New Guinea that served as a major Japanese naval and air base during World War II and was heavily targeted by Allied operations.
  • 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_69a498fe55a88190ab7f9e40ace88e49 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c674cc9c819088fc9146c7a7a914 completed March 1, 2026, 11:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad468a1e088190b9f4acea4ad506b4 completed March 8, 2026, 9:51 a.m.
Created at: March 1, 2026, 8:11 p.m.