Triple

T4886678
Position Surface form Disambiguated ID Type / Status
Subject Arion E109455 entity
Predicate hasCultOrLegendLocation P9995 FINISHED
Object Argos E70939 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: Argos | Statement: [Arion, hasCultOrLegendLocation, Argos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Argos
Context triple: [Arion, hasCultOrLegendLocation, Argos]
  • A. Argos
    Argos is a major UK-based catalogue and online retailer known for offering a wide range of household goods, electronics, toys, and more through both physical stores and digital channels.
  • B. Argos
    Argos is the common nickname for the Toronto Argonauts, a professional Canadian Football League team based in Toronto.
  • C. Argos chosen
    Argos is one of the oldest continuously inhabited cities in Greece, located in the Peloponnese and historically significant as a major center of ancient Greek civilization.
  • D. Argus
    Argus is a many-eyed giant from Greek mythology best known for his role as a vigilant guardian.
  • E. Argus
    Argus is an early distributed programming language known for pioneering concepts in fault-tolerant, distributed systems and influencing modern object-oriented and concurrent programming.
  • 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: hasCultOrLegendLocation
Context triple: [Arion, hasCultOrLegendLocation, Argos]
  • A. cultLocation chosen
    Indicates that a cult or religious group is based in, practices in, or is primarily associated with a particular location.
  • B. hasFictionalLocation
    Indicates that an entity is associated with, set in, or takes place within a location that exists only in fiction rather than in the real world.
  • C. hasVillainBaseLocation
    Indicates that a villain’s primary base or headquarters is located at a specified place.
  • D. relicsLocatedIn
    Indicates that certain relics are situated, stored, or found within a specific location.
  • E. hasNearbyArchaeologicalSite
    Indicates that an entity is located close to or in the vicinity of an archaeological site.
  • 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_69bd440f71348190b99938e59fb7f9a1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e03a7fc8190bcac63f4b19e586e completed March 20, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69be680fd1508190bc01caeea8f56f84 completed March 21, 2026, 9:42 a.m.
PD Predicate disambiguation batch_69bd6c2be5e881909f6ec9c3bcde49f3 completed March 20, 2026, 3:47 p.m.
Created at: March 20, 2026, 1:28 p.m.