Triple

T17549916
Position Surface form Disambiguated ID Type / Status
Subject Mormugao Bay E427430 entity
Predicate nearbyCity P350 FINISHED
Object Mormugao 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: Mormugao | Statement: [Mormugao Bay, nearbyCity, Mormugao]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mormugao
Context triple: [Mormugao Bay, nearbyCity, Mormugao]
  • A. Mormugao chosen
    Mormugao is a coastal city and major port in the Indian state of Goa, known for its strategic harbor and maritime trade.
  • B. Panachaiki
    Panachaiki is a Greek football club based in Patras, known for its historic presence in the country’s professional leagues.
  • C. Puri
    Puri is a coastal city in the Indian state of Odisha, renowned as a major Hindu pilgrimage site and home to the famous Jagannath Temple.
  • D. Tamralipti
    Tamralipti was an ancient and prominent port city on the eastern coast of the Indian subcontinent that served as a key maritime hub for trade and cultural exchange between India and Southeast Asia.
  • E. Parbhani
    Parbhani is a significant city in the Marathwada region of Maharashtra, India, known as an important commercial and educational center.
  • 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_69d889df6dc081908f67dbadc03c07ee completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e45463ddf88190a2c29f3246adcb6e completed April 19, 2026, 4:04 a.m.
Created at: April 10, 2026, 5:50 a.m.