Triple

T12757220
Position Surface form Disambiguated ID Type / Status
Subject Senate of Palau E304890 entity
Predicate meetsIn P40 FINISHED
Object Ngerulmud E55261 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: Ngerulmud | Statement: [Senate of Palau, meetsIn, Ngerulmud]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ngerulmud
Context triple: [Senate of Palau, meetsIn, Ngerulmud]
  • A. Ngerulmud chosen
    Ngerulmud is the small, purpose-built administrative center of Palau, located on the island of Babeldaob and known as one of the world's least-populated national capitals.
  • B. Narungga
    Narungga are an Aboriginal Australian people and language group traditionally associated with the Yorke Peninsula in South Australia.
  • C. Ngerkeai
    Ngerkeai is a village located within Aimeliik State in the island nation of Palau.
  • D. Ngerkeai
    Ngerkeai is a village in the Republic of Palau that serves as the administrative center of Ngiwal State.
  • E. Napareuli
    Napareuli is a Georgian wine appellation in the Kakheti region, known for producing high-quality wines, particularly from the Saperavi grape.
  • 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_69d7bdf1fcd081909ffb0e0d6fa3a07d completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96d8b57b88190b29b8fdca415c81c completed April 10, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c0dd657c8190b69e8bf187034360 completed May 3, 2026, 3:28 a.m.
Created at: April 9, 2026, 5:27 p.m.