Triple

T16375213
Position Surface form Disambiguated ID Type / Status
Subject We Like It Here E397661 entity
Predicate hasTrack P3284 FINISHED
Object Kite E130469 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: Kite | Statement: [We Like It Here, hasTrack, Kite]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kite
Context triple: [We Like It Here, hasTrack, Kite]
  • A. Kite chosen
    "Kite" is a reflective, emotionally resonant song by U2 from their album *All That You Can’t Leave Behind*, noted for its themes of change, loss, and letting go.
  • B. Kites
    "Kites" is a musical work by composer and pianist Samora Pinderhughes, reflecting his blend of jazz, classical, and socially conscious artistry.
  • C. Kitee
    Kitee is a small town and municipality in eastern Finland known for its lakeside scenery and rural character.
  • D. Flying a Kite
    "Flying a Kite" is a song by the indie rock band Walnut Whales.
  • E. Kestrelflyer
    Kestrelflyer is the frequent-flyer loyalty program of Air Mauritius, offering rewards and benefits to regular passengers of the airline.
  • 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e319d6942081909616a2c6efee9967 completed April 18, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003561f83481909223c99bb83ebdf4 completed May 10, 2026, 7:36 a.m.
Created at: April 10, 2026, 5:08 a.m.