Triple

T13980852
Position Surface form Disambiguated ID Type / Status
Subject Partido district E336305 entity
Predicate contains P35 FINISHED
Object Goa E9427 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: Goa | Statement: [Partido district, contains, Goa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Goa
Context triple: [Partido district, contains, 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, 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.
  • C. GOA
    GOA is the IATA airport code for Genoa Cristoforo Colombo Airport, the main international airport serving the city of Genoa in Italy.
  • 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 (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_69d81c639e808190a0e4b4f3d31c6a59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2ea10dc88190b9720919a021e570 completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fba1d6b2e88190b4d2237413f509ee completed May 6, 2026, 8:17 p.m.
Created at: April 9, 2026, 10:18 p.m.