Triple

T20359000
Position Surface form Disambiguated ID Type / Status
Subject El embarcadero E496724 entity
Predicate alsoKnownAs P39 FINISHED
Object The Pier NE NERFINISHED

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: The Pier | Statement: [El embarcadero, alsoKnownAs, The Pier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Pier
Context triple: [El embarcadero, alsoKnownAs, The Pier]
  • A. The Pier chosen
    The Pier is a Spanish mystery drama television series that follows an architect investigating her late husband's double life on the Valencian coast.
  • B. The Pier
    The Pier is a musical piece featured on the film score for the 2007 post-apocalyptic movie "I Am Legend."
  • C. Paradise Pier
    Paradise Pier was a seaside amusement-themed area at Disney California Adventure Park, featuring classic boardwalk attractions, games, and dining before its reimagining as Pixar Pier.
  • D. Town Pier
    Town Pier is a historic riverside pier in Gravesend, England, serving as a local landmark and passenger landing stage on the River Thames.
  • E. Jump City Pier
    Jump City Pier is a prominent waterfront attraction in Jump City, known as a central gathering spot and scenic coastal landmark.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4a3f7f48190b37f354574028ca6 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e678573fc481908bf257e6ed41d750 completed April 20, 2026, 7:02 p.m.
Created at: April 16, 2026, 11:25 a.m.