Triple

T7538204
Position Surface form Disambiguated ID Type / Status
Subject Dili municipality E178202 entity
Predicate highestLevelSubdivisionOf P32872 FINISHED
Object Dili city E672455 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: Dili city | Statement: [Dili municipality, highestLevelSubdivisionOf, Dili city]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dili city
Context triple: [Dili municipality, highestLevelSubdivisionOf, Dili city]
  • A. Dili city center chosen
    Dili city center is the main commercial and administrative heart of East Timor’s capital, featuring government buildings, markets, and coastal urban areas along the Bay of Dili.
  • B. Kokota
    Kokota is an Oceanic language spoken in the Solomon Islands, particularly on Santa Isabel Island.
  • C. Butuan City
    Butuan City is a highly urbanized and historically significant city in the Caraga region of Mindanao in the Philippines, known as a commercial hub and an important archaeological and cultural center.
  • D. Kota
    Kota is a major industrial and educational city in southeastern Rajasthan, India, known for its coaching institutes and power plants along the Chambal River.
  • E. Kota Seribu Sungai
    Kota Seribu Sungai is a nickname for Banjarmasin, a South Kalimantan city famed for its extensive river networks and floating markets.
  • 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_69c69f2be3888190a6667a27f8f195e9 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8710400819088e430c8c550577e completed March 27, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c856b687708190a1fe1351be70616b completed March 28, 2026, 10:31 p.m.
Created at: March 27, 2026, 3:48 p.m.