Triple

T7798245
Position Surface form Disambiguated ID Type / Status
Subject Red Line (Delhi Metro) E180354 entity
Predicate hasStation P35 FINISHED
Object Shahdara E452439 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: Shahdara | Statement: [Red Line (Delhi Metro), hasStation, Shahdara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shahdara
Context triple: [Red Line (Delhi Metro), hasStation, Shahdara]
  • A. Shahdara chosen
    Shahdara is a densely populated residential and commercial locality in East Delhi, India, known as one of the city’s oldest suburbs and a key transport hub.
  • B. Karimabad
    Karimabad is a picturesque town in northern Pakistan’s Hunza region, known for its stunning mountain scenery, historic forts, and role as a popular base for trekkers and tourists.
  • C. Karimabad
    Karimabad is a neighborhood in Karachi, Pakistan, known for its bustling markets and central urban location within the city.
  • D. Durdhara
    Durdhara is traditionally regarded as the wife of the Mauryan emperor Chandragupta Maurya and the mother of his successor, Bindusara, in ancient Indian history.
  • E. Ganaur
    Ganaur is a town in the northern Indian state of Haryana, known for its agricultural markets and proximity to major transport routes connecting it to Delhi and other regional centers.
  • 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_69ca827d22208190b4dc5aa680edcf5d completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cae984185881908117f9f549ffc443 completed March 30, 2026, 9:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb5a18014c8190be64130bfb856e10 completed March 31, 2026, 5:22 a.m.
Created at: March 30, 2026, 4:32 p.m.