Triple

T12757222
Position Surface form Disambiguated ID Type / Status
Subject Senate of Palau E304890 entity
Predicate locatedIn P40 FINISHED
Object Babeldaob E56171 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: Babeldaob | Statement: [Senate of Palau, locatedIn, Babeldaob]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Babeldaob
Context triple: [Senate of Palau, locatedIn, Babeldaob]
  • A. Babeldaob chosen
    Babeldaob is the largest island in Palau, known for its rugged terrain, traditional villages, and role as the site of the nation’s capital, Ngerulmud.
  • B. Dobo
    Dobo is the main town and administrative center of the Aru Islands in Indonesia, serving as the region’s political and economic hub.
  • C. Darbenai
    Darbenai is a small town in western Lithuania, historically home to a Jewish community from which Zionist leader David Wolffsohn originated.
  • D. Busaiteen
    Busaiteen is a coastal town in the Kingdom of Bahrain, located on Muharraq Island and known for its residential neighborhoods and proximity to Bahrain International Airport.
  • E. Doboka
    Doboka is a town in the Nagaon district of Assam, India, known as a local commercial and transportation hub for the surrounding rural areas.
  • 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_69f67c9c93248190b77c7d229da64ffb completed May 2, 2026, 10:37 p.m.
Created at: April 9, 2026, 5:27 p.m.