Triple

T923753
Position Surface form Disambiguated ID Type / Status
Subject Rahul Gandhi E19937 entity
Predicate constituencyRepresented P192 FINISHED
Object Wayanad E34853 NE 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: Wayanad | Statement: [Rahul Gandhi, constituencyRepresented, Wayanad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wayanad
Context triple: [Rahul Gandhi, constituencyRepresented, Wayanad]
  • A. Kerala chosen
    Kerala is a coastal state in southwestern India known for its backwaters, high literacy rate, distinctive Malayalam culture, and strong traditions in art, Ayurveda, and religious diversity.
  • B. Karnataka
    Karnataka is a state in southwestern India known for its diverse languages and cultures, major tech hub Bengaluru, and rich historical and architectural heritage.
  • C. Nicobar district
    Nicobar district is an administrative district of India comprising the southernmost group of the Andaman and Nicobar Islands in the eastern Indian Ocean.
  • D. Meghalaya
    Meghalaya is a hilly state in northeastern India known for its heavy rainfall, lush forests, and diverse indigenous cultures.
  • E. Junagadh
    Junagadh is a historic city in western India known for its ancient fort, Buddhist caves, and proximity to the Girnar hills and Gir National Park.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69a493a099788190a696d9d8408cbaf4 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3296f50819087f809fbe90b139e completed March 1, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7cf6652d0819084d6216646bd4fc5 completed March 4, 2026, 6:21 a.m.
Created at: March 1, 2026, 7:40 p.m.