Triple

T7355281
Position Surface form Disambiguated ID Type / Status
Subject Buru E169608 entity
Predicate largestSettlement P163 FINISHED
Object Namlea E658671 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: Namlea | Statement: [Buru, largestSettlement, Namlea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Namlea
Context triple: [Buru, largestSettlement, Namlea]
  • A. Namlea chosen
    Namlea is the main town and administrative center of Buru Island in Indonesia’s Maluku province.
  • B. Nias
    Nias is a large island off the western coast of Sumatra in Indonesia, known for its unique megalithic culture, traditional villages, and world-class surfing waves.
  • C. Oecusse
    Oecusse is a coastal exclave region of Timor-Leste located on the northwestern part of Timor island, separated from the country's main territory by Indonesian land.
  • D. Baratang Island
    Baratang Island is a lesser-known island in India’s Andaman archipelago, noted for its limestone caves, mangrove creeks, and active mud volcanoes.
  • E. Biliran Island
    Biliran Island is a small island province in the Eastern Visayas region of the Philippines known for its coastal landscapes, waterfalls, and predominantly Waray-speaking population.
  • 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_69c68a59f2288190877ca15c19b1e822 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f139505c8190a7158cf59a6e089e completed March 27, 2026, 9:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69c802b69cb4819096815b1fac284840 completed March 28, 2026, 4:32 p.m.
Created at: March 27, 2026, 3:05 p.m.