Triple

T10008547
Position Surface form Disambiguated ID Type / Status
Subject I Am Easy to Find E198311 entity
Predicate hasPart P35 FINISHED
Object Hairpin Turns E834704 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: Hairpin Turns | Statement: [I Am Easy to Find, hasPart, Hairpin Turns]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hairpin Turns
Context triple: [I Am Easy to Find, hasPart, Hairpin Turns]
  • A. Hairpin Turns chosen
    "Hairpin Turns" is a song by American indie rock band The National from their 2019 album *I Am Easy to Find*.
  • B. Ramsey Hairpin
    Ramsey Hairpin is a tight, challenging hairpin bend on the Isle of Man TT Mountain Course, known as a key braking and overtaking point in the Senior TT race.
  • C. Helix
    Helix is a multi-launch steel roller coaster at the Liseberg amusement park in Gothenburg, Sweden, known for its intense inversions and terrain-hugging layout.
  • D. Helix
    Helix is an interactive light-based art installation by Jen Lewin that invites public participation through responsive, immersive illumination.
  • E. Helixe
    Helixe was a video game development studio known for creating licensed titles, including handheld adaptations of popular franchises such as the Cars video game.
  • 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_69ca830fcca48190bbbd9b20c233835f completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd38659c8190830d223edbfd74ec completed April 2, 2026, 1:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69d28209678c8190898d923753bb4472 completed April 5, 2026, 3:38 p.m.
Created at: March 30, 2026, 8:52 p.m.