Triple

T4471594
Position Surface form Disambiguated ID Type / Status
Subject Martians E98506 entity
Predicate primaryInvasionLocation P8094 FINISHED
Object Surrey E2921 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: Surrey | Statement: [Martians, primaryInvasionLocation, Surrey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Surrey
Context triple: [Martians, primaryInvasionLocation, Surrey]
  • A. Surrey chosen
    Surrey is a county in southeast England known for its historic towns, affluent suburbs, and proximity to London.
  • B. Surrey
    Surrey is a large, rapidly growing city in the Metro Vancouver region of southwestern British Columbia, Canada.
  • C. Buckinghamshire
    Buckinghamshire is a ceremonial and non-metropolitan county in South East England, known for its historic towns, Chiltern Hills countryside, and proximity to London.
  • D. West Sussex
    West Sussex is a county in South East England known for its mix of coastal towns, rural countryside, and historic market settlements.
  • E. Sussex
    Sussex is a traditional British dual-purpose chicken breed valued for both its meat and egg production.
  • 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: primaryInvasionLocation
Context triple: [Martians, primaryInvasionLocation, Surrey]
  • A. primarySites
    Indicates the main or originating locations associated with an entity, often distinguishing them from secondary or related sites.
  • B. typicalOnsetLocation
    Indicates the anatomical location where a condition, symptom, or process most commonly begins or first appears.
  • C. primaryInfectionStructure
    Indicates the structure that serves as the main or initial means by which an infection is established in a host.
  • D. primaryDisease
    Indicates that a disease is the main or principal medical condition affecting an entity, as opposed to secondary or comorbid conditions.
  • E. firstLocation chosen
    Indicates the initial or primary place where an entity is situated, originates, or where an event or relationship begins.
  • 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_69b3454b4ae481908967426dd37284d6 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b356fb69a0819099f0005779f4fcac completed March 13, 2026, 12:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69b627b362508190905af163e9dbc1b4 completed March 15, 2026, 3:29 a.m.
PD Predicate disambiguation batch_69b3563bf4f8819081726cde3a34460b completed March 13, 2026, 12:11 a.m.
Created at: March 12, 2026, 11:35 p.m.