Triple

T2840711
Position Surface form Disambiguated ID Type / Status
Subject Panaji E62458 entity
Predicate alternateName P39 FINISHED
Object Panjim E62458 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: Panjim | Statement: [Panaji, alternateName, Panjim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Panjim
Context triple: [Panaji, alternateName, Panjim]
  • A. Panaji chosen
    Panaji is a coastal city in western India known for its Portuguese colonial architecture, riverside promenade, and role as the administrative and cultural hub of Goa.
  • B. Cochin
    Cochin, now known as Kochi, is a historic port city on the southwest coast of India that became an important center of the spice trade and early European colonial activity.
  • C. Cochin
    Cochin is a large, heavily feathered chicken breed known for its gentle temperament and ornamental appearance.
  • D. Lourenço Marques
    Lourenço Marques is the former name of Maputo, the capital city and main port of Mozambique.
  • E. Calicut
    Calicut, also known as Kozhikode, is a historic coastal city in Kerala, India, renowned as a key medieval spice-trading hub that attracted Arab, Chinese, and later European merchants.
  • 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_69ab4c3d16bc81908b3a1c98fbd287fe completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf15b7288190a03d1193cc0544a6 completed March 7, 2026, 8:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01d7705108190a986d3def0c08f7b completed March 10, 2026, 1:32 p.m.
Created at: March 6, 2026, 10:01 p.m.