Triple

T14801852
Position Surface form Disambiguated ID Type / Status
Subject Beypore port E347926 entity
Predicate serves P98 FINISHED
Object Malabar region E23682 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: Malabar region | Statement: [Beypore port, serves, Malabar region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malabar region
Context triple: [Beypore port, serves, Malabar region]
  • A. Malabar Coast chosen
    The Malabar Coast is a historically significant southwestern coastal region of India known for its spice trade and as a key hub for European colonial powers.
  • B. Malabar District
    Malabar District was a former administrative region in southwestern India under British rule, later incorporated into the state of Kerala.
  • C. North Canara
    North Canara is a coastal district in the Indian state of Karnataka, known for its Arabian Sea shoreline, Western Ghats forests, and diverse cultural and linguistic heritage.
  • D. South Canara
    South Canara is a historical coastal region in southwestern India, known for its diverse communities, maritime trade heritage, and distinctive cultural and linguistic traditions.
  • E. Konaseema region
    Konaseema region is a lush, riverine delta area in Andhra Pradesh, India, renowned for its coconut groves, backwaters, and scenic rural landscapes.
  • 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_69d822ea8b7c819097dfadf3d45545e6 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decf30d044819082ac038e06481aab completed April 14, 2026, 11:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e7bb24c8190b67fb4e098b15d83 completed May 9, 2026, 12:23 a.m.
Created at: April 10, 2026, 1:31 a.m.