Triple

T15011557
Position Surface form Disambiguated ID Type / Status
Subject Nal o Daman E377848 entity
Predicate mainCharacter P1183 FINISHED
Object Nal E655207 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: Nal | Statement: [Nal o Daman, mainCharacter, Nal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nal
Context triple: [Nal o Daman, mainCharacter, Nal]
  • A. Nal chosen
    Nal is an entity or individual that serves as a point of comparison to Amri, suggesting they share similar characteristics, roles, or contexts.
  • B. Nal
    Nal is a locality in Rajasthan, India, known primarily for hosting Nal Airport, which serves the nearby city of Bikaner.
  • C. Nall
    Nall is a small, winged, cat-like companion character from the role-playing game Lunar: The Silver Star, known for guiding and supporting the protagonist throughout the adventure.
  • D. Nalik
    Nalik is an Austronesian language spoken by a small community in New Ireland, Papua New Guinea.
  • E. Nál
    Nál is a figure in Norse mythology known as the wife of the giant Fárbauti and mother of the trickster god Loki.
  • 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_69d85cd3a3c881908c71fc424d459c17 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7613cec8190ac25e3f68c5d0edf completed April 15, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe96a7dcac8190b0153d7cdac03afa completed May 9, 2026, 2:06 a.m.
Created at: April 10, 2026, 2:55 a.m.