Triple

T18891621
Position Surface form Disambiguated ID Type / Status
Subject Ubo Bagobo E462102 entity
Predicate culturalChallenges P53143 FINISHED
Object land rights issues LITERAL 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: land rights issues | Statement: [Ubo Bagobo, culturalChallenges, land rights issues]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: culturalChallenges
Context triple: [Ubo Bagobo, culturalChallenges, land rights issues]
  • A. culturalIssue chosen
    Indicates that something pertains to, arises from, or significantly affects the beliefs, values, practices, or norms of a particular culture or group.
  • B. culturalVariation
    Indicates that there are differences in practices, beliefs, or expressions between cultures or within a culture across groups, contexts, or time.
  • C. culturalInteraction
    Indicates interactions or exchanges between entities that involve cultural practices, values, expressions, or influences.
  • D. culturalEmphasis
    Indicates that a culture, group, or context places particular importance or priority on a specific value, practice, or domain.
  • E. opposingCulture
    Indicates a relationship where one culture stands in opposition to, conflicts with, or resists the values, practices, or influence of another culture.
  • F. None of above.

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_69d8dcfc3430819095ee6fc0eb4c06a5 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c47bbf908190b141e98e3468e908 completed April 20, 2026, 6:15 a.m.
PD Predicate disambiguation batch_69e4a2e27e1481908a8da10b28f07875 completed April 19, 2026, 9:39 a.m.
Created at: April 10, 2026, 11:58 a.m.