Triple

T3076050
Position Surface form Disambiguated ID Type / Status
Subject Angaur E64139 entity
Predicate largestSettlement P163 FINISHED
Object Ngaramasch E325575 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: Ngaramasch | Statement: [Angaur, largestSettlement, Ngaramasch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ngaramasch
Context triple: [Angaur, largestSettlement, Ngaramasch]
  • A. Ngaramasch chosen
    Ngaramasch is the main settlement and administrative center of Angaur State in the island nation of Palau.
  • B. Rallo
    Rallo is a young, mischievous character from the animated television series "The Cleveland Show," known for his precocious attitude and comedic antics.
  • C. Scialfa
    Scialfa is the surname of Patti Scialfa, an American singer-songwriter and guitarist best known as a member of Bruce Springsteen's E Street Band.
  • D. Jincamocco
    Jincamocco is an important archaeological site associated with the Wari Empire, reflecting the political and cultural influence of this pre-Inca Andean civilization.
  • E. Gravedona
    Gravedona is a picturesque town on the shores of Lake Como in northern Italy, known for its historic churches and scenic lakeside setting.
  • 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_69ad857a8aec8190bfdfd9c14554ac5a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada1a5b4108190979654b459990afd completed March 8, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20357f8c48190b6874f7596f30052 completed March 12, 2026, 12:05 a.m.
Created at: March 8, 2026, 3:02 p.m.