Triple

T16184964
Position Surface form Disambiguated ID Type / Status
Subject Orange Line Metro Train Lahore E392776 entity
Predicate terminus P388 FINISHED
Object Dera Gujran E1111488 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: Dera Gujran | Statement: [Orange Line Metro Train Lahore, terminus, Dera Gujran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dera Gujran
Context triple: [Orange Line Metro Train Lahore, terminus, Dera Gujran]
  • A. Dera Gujran chosen
    Dera Gujran is a locality in Lahore, Pakistan, known for serving as the terminal station of the city's Orange Line Metro Train.
  • B. Dera Beas
    Dera Beas is a spiritual township and headquarters of the Radha Soami Satsang Beas organization, located near the Beas River in Punjab, India.
  • C. Dera Baba Bharbhag Singh
    Dera Baba Bharbhag Singh is a prominent Sikh religious shrine and pilgrimage center in Himachal Pradesh, India, known especially for its annual fair and spiritual healing practices.
  • D. Rajanpur
    Rajanpur is a city in Pakistan known as an administrative and commercial center in the southern part of Punjab province.
  • E. Dera Ghazi Khan
    Dera Ghazi Khan is a major city in southern Punjab, Pakistan, known as an important cultural and economic center of the Seraiki-speaking region.
  • 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_69d87f1e49ac8190a311b54d32990576 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e22060dcf88190b7c662946a5f0191 completed April 17, 2026, 11:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffff0550b48190ac84946b7254552b completed May 10, 2026, 3:44 a.m.
Created at: April 10, 2026, 5:02 a.m.