Triple

T192314
Position Surface form Disambiguated ID Type / Status
Subject ATLAS E3746 entity
Predicate collaborationCountries P835 FINISHED
Object over 180 institutions LITERAL 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: over 180 institutions | Statement: [ATLAS, collaborationCountries, over 180 institutions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: collaborationCountries
Context triple: [ATLAS, collaborationCountries, over 180 institutions]
  • A. countryPartner
    Indicates a formal partnership relationship between two countries, such as cooperation, alliance, or strategic collaboration.
  • B. relatedCountry chosen
    Indicates that there is a relevant or associated relationship between an entity and a specified country, without specifying the exact nature of that relationship.
  • C. involvedCountry
    Indicates that a country participates in, is associated with, or is otherwise implicated in the referenced event, activity, or situation.
  • D. associatedCountry
    Indicates that there is a relevant connection or linkage between an entity and a specific country, such as origin, operation, or affiliation.
  • E. countryJoined
    Indicates that a country became a member of, or formally entered into, a specific organization, union, alliance, or agreement.
  • F. None of above.

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_69a2548debd48190ae3a06d6e65b53c6 completed Feb. 28, 2026, 2:35 a.m.
NER Named-entity recognition batch_69a259669ba08190a5be1d2e10e70b27 completed Feb. 28, 2026, 2:56 a.m.
PD Predicate disambiguation batch_69a2567567508190b3a41329a15c7156 completed Feb. 28, 2026, 2:44 a.m.
Created at: Feb. 28, 2026, 2:41 a.m.