Triple

T21528260
Position Surface form Disambiguated ID Type / Status
Subject Andaman Trunk Road E531154 entity
Predicate connects P390 FINISHED
Object Mayabunder 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: Mayabunder | Statement: [Andaman Trunk Road, connects, Mayabunder]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mayabunder
Context triple: [Andaman Trunk Road, connects, Mayabunder]
  • A. Mayabunder chosen
    Mayabunder is a coastal town and administrative center in the Middle Andaman region of India’s Andaman and Nicobar Islands, known for its harbors, beaches, and surrounding mangrove forests.
  • B. Hatyapuri
    Hatyapuri is a Bengali detective novel in the Feluda series by Satyajit Ray, featuring the sleuth Pradosh C. Mitter (Feluda) as he unravels a mystery in the seaside town of Puri.
  • C. Hanuman Garhi
    Hanuman Garhi is a prominent hilltop temple in Ayodhya dedicated to Lord Hanuman, revered as one of the city's most important pilgrimage sites.
  • D. Babarikha
    Babarikha is a character from Russian folklore and literature, typically depicted as an old matchmaker involved in arranging marriages.
  • E. Mahodayapuram
    Mahodayapuram was the principal royal city and political center of the medieval Chera kingdom in present-day Kerala, India.
  • 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_69e0c45e5b8881908ac18fc2f493b114 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee8852e68c8190a5341c9f75081382 completed April 26, 2026, 9:49 p.m.
Created at: April 16, 2026, 6:26 p.m.