Triple

T21443479
Position Surface form Disambiguated ID Type / Status
Subject Mardi: And a Voyage Thither E529002 entity
Predicate hasCharacter P2308 FINISHED
Object Babbalanja NE NERFINISHED

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: Babbalanja | Statement: [Mardi: And a Voyage Thither, hasCharacter, Babbalanja]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Babbalanja
Context triple: [Mardi: And a Voyage Thither, hasCharacter, Babbalanja]
  • A. Babbalanja chosen
    Babbalanja is a philosophical and skeptical character in Herman Melville’s novel "Mardi," known for his reflective monologues and probing critiques of religion, politics, and society.
  • B. Bayabas
    Bayabas is a coastal municipality in the Philippine province of Surigao del Sur known for its fishing communities and rural seaside landscapes.
  • C. Baralaba
    Baralaba is a small rural town in Central Queensland, Australia, known for its cattle grazing and coal mining industries along the Dawson River.
  • D. Bumba
    Bumba is a town and river port in the northern Democratic Republic of the Congo, situated along the Congo River and serving as a regional transport and trade hub.
  • E. Bumba
    Bumba is a Romanian professional footballer known for playing as an attacking midfielder and winger for various clubs in Europe.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c4569fa081908101baa24f8745db completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e8b7055d148190ae3b52e10abd8fd2 completed April 22, 2026, 11:54 a.m.
Created at: April 16, 2026, 6:05 p.m.