Triple

T15002037
Position Surface form Disambiguated ID Type / Status
Subject Latin Crusaders E374113 entity
Predicate divertedTo P1660 FINISHED
Object Zara E137996 NE FINISHED

How this triple was built (3 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: Zara | Statement: [Latin Crusaders, divertedTo, Zara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zara
Context triple: [Latin Crusaders, divertedTo, Zara]
  • A. Zara chosen
    Zara is the historical Italian name for the coastal Croatian city of Zadar on the Adriatic Sea.
  • B. Zara
    Zara is a character in the 1953 film noir "Pickup on South Street," involved in the story’s underworld of espionage and crime.
  • C. Zara
    Zara is a global fast-fashion retail brand known for rapidly translating runway trends into affordable clothing and accessories for a mass-market audience.
  • D. Zara
    Zara is a town and district in Turkey known for its location in the eastern part of the Central Anatolia region.
  • E. H&M
    H&M, in this context, refers to the historic Hudson and Manhattan Railroad, an early 20th-century rapid transit system that connected Manhattan with New Jersey and served as a predecessor to today’s PATH trains.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: divertedTo
Context triple: [Latin Crusaders, divertedTo, Zara]
  • A. divertedBy
    Indicates that the normal course, flow, or direction of something is changed or rerouted due to the influence or action of another entity.
  • B. directedTo
    Indicates that something is sent, aimed, or addressed toward a particular target or recipient.
  • C. portedTo
    Indicates that something has been adapted or transferred from its original environment or platform to run or function on a different one.
  • D. diversionMethod
    Indicates the method or tactic used to distract, mislead, or redirect attention or resources away from a primary target or activity.
  • E. relocatedTo chosen
    Indicates that an entity has moved or been transferred from its previous location to a new specified location.
  • F. None of above.

Provenance (4 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_69d85ccc84388190aa151e5173370c8d completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded72fec948190b1c9705538c57976 completed April 15, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9dcbd7c88190ad1a302cd0c6ef28 completed May 9, 2026, 2:37 a.m.
PD Predicate disambiguation batch_69de9a6531a88190acde65199a477350 completed April 14, 2026, 7:49 p.m.
Created at: April 10, 2026, 2:54 a.m.