Triple

T19216931
Position Surface form Disambiguated ID Type / Status
Subject Segitiga Terumbu Karang E480509 entity
Predicate terkenalSebagai P85915 FINISHED
Object segitiga keanekaragaman hayati laut tertinggi di dunia 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: segitiga keanekaragaman hayati laut tertinggi di dunia | Statement: [Segitiga Terumbu Karang, terkenalSebagai, segitiga keanekaragaman hayati laut tertinggi di dunia]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: terkenalSebagai
Context triple: [Segitiga Terumbu Karang, terkenalSebagai, segitiga keanekaragaman hayati laut tertinggi di dunia]
  • A. formerlyKnownFor
    Indicates that an entity was previously recognized or notable for a particular role, attribute, or activity, but is no longer primarily associated with it.
  • B. известенКак chosen
    Indicates that one entity is known or recognized by a particular name, title, or role.
  • C. knownPrimarilyThrough
    Indicates that one entity is chiefly recognized, identified, or made familiar to others by means of another entity (such as a work, role, medium, or context).
  • D. namedForKnownFor
    Indicates that one entity is named after another entity specifically because that other entity is notable or recognized for something.
  • E. segmentKnownFor
    Indicates that a specific segment or portion of something is recognized or notable for a particular characteristic, feature, or association.
  • 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_69d8e8cb8c348190b52075823911c869 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fa3aff9c8190974363683b8246f5 completed April 20, 2026, 10:04 a.m.
PD Predicate disambiguation batch_69e4dcf22b3c8190bee02e3af946e114 completed April 19, 2026, 1:47 p.m.
Created at: April 10, 2026, 1:23 p.m.