Triple

T20872948
Position Surface form Disambiguated ID Type / Status
Subject Trans-Timor road network E513939 entity
Predicate connects P390 FINISHED
Object Atambua 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: Atambua | Statement: [Trans-Timor road network, connects, Atambua]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Atambua
Context triple: [Trans-Timor road network, connects, Atambua]
  • A. Atambua chosen
    Atambua is a town in East Nusa Tenggara, Indonesia, located near the border with Timor-Leste and serving as an important regional trade and transit center.
  • B. Lewoleba
    Lewoleba is the main town and administrative center of Lembata Island in Indonesia’s East Nusa Tenggara province.
  • C. Nampula
    Nampula is a major city in northern Mozambique that serves as an important commercial and transportation hub for the region.
  • D. Nacala
    Nacala is a coastal city in northern Mozambique known for its deep-water natural harbor and role as a major regional port and transport hub.
  • E. Sofifi
    Sofifi is a small coastal town on Halmahera Island in eastern Indonesia that serves as the administrative center of North Maluku Province.
  • 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.