Triple

T11595865
Position Surface form Disambiguated ID Type / Status
Subject Aimeliik State E274999 entity
Predicate hasVillage P4011 FINISHED
Object Mongami E935822 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: Mongami | Statement: [Aimeliik State, hasVillage, Mongami]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mongami
Context triple: [Aimeliik State, hasVillage, Mongami]
  • A. Mongami chosen
    Mongami is the small administrative center that serves as the capital of Aimeliik State in the island nation of Palau.
  • B. Mongmit
    Mongmit is a historic town and former minor Shan principality in northern Myanmar, known for its role within the traditional Shan States.
  • C. Mandegusu
    Mandegusu is an alternate name for Simbo, an island in the Western Province of the Solomon Islands in the South Pacific.
  • D. Mawteni
    Mawteni is an alternative Romanized spelling of "Mawtini," the famous Arabic patriotic poem and anthem widely associated with Palestinian and Iraqi national identity.
  • E. Bulakmonga
    Bulakmonga is a coastal village in Indonesia’s Mentawai Islands that was heavily impacted by the devastating 2010 Mentawai earthquake and tsunami.
  • 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_69d6aae6b14c81908dc5a74bad7591f9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8946790d08190924d60bb4b523250 completed April 10, 2026, 6:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee86f246848190a5b020c3e05d02dd completed April 26, 2026, 9:43 p.m.
Created at: April 8, 2026, 9:38 p.m.