Triple

T15120443
Position Surface form Disambiguated ID Type / Status
Subject Kapit Division E361156 entity
Predicate hasSettlement P1068 FINISHED
Object Song E380391 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: Song | Statement: [Kapit Division, hasSettlement, Song]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Song
Context triple: [Kapit Division, hasSettlement, Song]
  • A. Song chosen
    Song is a common Chinese surname with historical roots and cultural significance, shared by many notable figures across various fields.
  • B. Music (song)
    "Music" is a song by Madonna that serves as the title track and lead single from her 2000 album of the same name, blending dance-pop and electronic influences.
  • C. Singel
    Singel is a historic canal in Amsterdam that once served as the city’s medieval moat and now forms part of its iconic canal belt.
  • D. Song 1
    Song 1 is a multimedia artwork by contemporary American artist Doug Aitken, known for its immersive, cinematic exploration of sound, movement, and urban experience.
  • E. Art Song
    An art song is a type of classical vocal music composition, typically for solo voice and piano, that sets poetic texts to music with an emphasis on expressive interpretation and musical sophistication.
  • 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_69d85a06450081909c5a14ea9851a15e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0059e036c8190959ff3bde8f2356f completed April 15, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69feb7f2e3408190ae095d16396e420d completed May 9, 2026, 4:28 a.m.
Created at: April 10, 2026, 3:06 a.m.