Triple

T21109749
Position Surface form Disambiguated ID Type / Status
Subject International Film Festival of India E520140 entity
Predicate location P40 FINISHED
Object Goa NE NERFINISHED

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: Goa | Statement: [International Film Festival of India, location, Goa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Goa
Context triple: [International Film Festival of India, location, Goa]
  • A. Goa chosen
    Goa is a coastal state on India’s western shore known for its beaches, distinctive blend of Indian and Portuguese heritage, and vibrant tourism industry.
  • B. GOA
    GOA is the IATA airport code for Genoa Cristoforo Colombo Airport, the main international airport serving the city of Genoa in Italy.
  • C. GOA
    GOA, short for Guerrilla Open Access, is an activist movement advocating for the free and unrestricted sharing of scholarly and cultural information, often in defiance of traditional copyright and paywall systems.
  • D. Kerala
    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.
  • E. Gujarat
    Gujarat is a western coastal state of India known for its significant role in trade and industry, rich cultural heritage, and historic cities such as Ahmedabad.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b509a318819092fbbcb21d1fe603 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7210110a48190a6359b6732f6293d completed April 21, 2026, 7:02 a.m.
Created at: April 16, 2026, 2:54 p.m.