Triple

T14017678
Position Surface form Disambiguated ID Type / Status
Subject Regional Comprehensive Economic Partnership E337241 entity
Predicate hasFormerParticipant P112494 FINISHED
Object India E1124 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: India | Statement: [Regional Comprehensive Economic Partnership, hasFormerParticipant, India]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: India
Context triple: [Regional Comprehensive Economic Partnership, hasFormerParticipant, India]
  • A. India chosen
    India is a large South Asian country known for its vast population, cultural and linguistic diversity, and rapid economic growth.
  • B. India
    "India" is a popular song by American rapper Lil Durk, known for its melodic style and romantic themes.
  • C. Bharata (India)
    Bharata (India) is the traditional Sanskrit name for the Indian subcontinent and the Republic of India, rooted in ancient Hindu texts and cultural heritage.
  • D. Indya
    Indya is the given name of Indya Moore, an American actor and model best known for their role on the television series "Pose."
  • E. Indienne
    Indienne was a French naval ship that took part in the early 19th-century Battle of the Basque Roads during the Napoleonic Wars.
  • 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: hasFormerParticipant
Context triple: [Regional Comprehensive Economic Partnership, hasFormerParticipant, India]
  • A. hasParticipants
    Indicates that an event, activity, or situation involves one or more entities as participants in it.
  • B. hasFormerPatron
    Indicates that an entity previously served as a patron or sponsor of another entity, but no longer holds that role.
  • C. hasFormerStaffMember
    Indicates that an entity once had a person as a staff member, but that person is no longer employed there.
  • D. hasFormerUse
    Indicates that something previously served a particular function or role that it no longer has.
  • E. hasFormerHost
    Indicates that an entity previously served as the host of another entity but no longer holds that hosting role.
  • F. None of above. chosen

Provenance (5 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_69d81c6543a48190bd5ba93d7419e797 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2f3b5b088190a58715779d2c46a6 completed April 14, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbac880f50819080011aef63f48dc8 completed May 6, 2026, 9:03 p.m.
PD Predicate disambiguation batch_69de05a802ac819090604025aae6a4d5 completed April 14, 2026, 9:15 a.m.
PDg Predicate description generation batch_69de239524688190a0f2408c239cfcaa completed April 14, 2026, 11:23 a.m.
Created at: April 9, 2026, 10:19 p.m.