Triple

T7643642
Position Surface form Disambiguated ID Type / Status
Subject Simba E173068 entity
Predicate homeLocation P75 FINISHED
Object Pride Lands E173072 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: Pride Lands | Statement: [Simba, homeLocation, Pride Lands]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pride Lands
Context triple: [Simba, homeLocation, Pride Lands]
  • A. Pride Lands chosen
    The Pride Lands is the fictional African savanna kingdom ruled by lions in Disney's "The Lion King," known for its iconic Pride Rock and diverse animal inhabitants.
  • B. Grassfields
    Grassfields is a highland region of western Cameroon known for its diverse Bantu and Grassfields Bantu ethnic groups, rich traditional kingdoms, and vibrant cultural heritage.
  • C. Zinzana
    Zinzana is a 2015 Emirati thriller film directed by Majid Al Ansari, known for its tense, single-location story about a man trapped in a police station with a dangerous stranger.
  • D. Tômbua-Lândana
    Tômbua-Lândana is a major offshore oil field located off the coast of Angola’s Cabinda province, known for its significant deepwater crude production.
  • E. Lanseria
    Lanseria is a town in the northwestern part of Johannesburg, South Africa, known primarily for hosting the privately owned Lanseria International Airport.
  • 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_69c6995360188190968ee57b72a1627f completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6faef96908190a7724b204f9d8c9e completed March 27, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c870d510f08190ad7706f582e8c1a0 completed March 29, 2026, 12:22 a.m.
Created at: March 27, 2026, 3:58 p.m.