Triple

T19598075
Position Surface form Disambiguated ID Type / Status
Subject Old Delhi E470398 entity
Predicate hasMarket P2714 FINISHED
Object Ballimaran 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: Ballimaran | Statement: [Old Delhi, hasMarket, Ballimaran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ballimaran
Context triple: [Old Delhi, hasMarket, Ballimaran]
  • A. Ballimaran chosen
    Ballimaran is a historic, densely packed lane in Old Delhi known for its traditional shops, old havelis, and association with the poet Mirza Ghalib.
  • B. Mahorais
    Mahorais is a French-based creole language spoken primarily on the island of Mayotte in the Indian Ocean.
  • C. Mulgimaa
    Mulgimaa is a historic cultural region in southern Estonia known for its distinct Mulgi dialect, traditional folk culture, and influential role in Estonian national awakening.
  • D. Arboria
    Arboria is a lush, forested kingdom on the planet Mongo in the Flash Gordon universe, ruled by Prince Barin and known for its treetop cities and dangerous wildlife.
  • E. Roura
    Roura is a commune in French Guiana known for its rainforest landscapes and proximity to the Kaw-Roura Marshland Nature Reserve.
  • 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_69d8e510024481908415c0d616fa6186 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e6407c52c081908704d3a4dd6e853b completed April 20, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:43 p.m.