Triple

T7842524
Position Surface form Disambiguated ID Type / Status
Subject Yellow Line (Delhi Metro) E181839 entity
Predicate hasStation P35 FINISHED
Object Sikandarpur
Sikandarpur is a metro station in the Delhi Metro network that serves the Gurugram area and provides an interchange with the Rapid Metro system.
E710016 NE FINISHED

How this triple was built (4 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: Sikandarpur | Statement: [Yellow Line (Delhi Metro), hasStation, Sikandarpur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sikandarpur
Context triple: [Yellow Line (Delhi Metro), hasStation, Sikandarpur]
  • A. Rajanpur
    Rajanpur is a city in Pakistan known as an administrative and commercial center in the southern part of Punjab province.
  • B. Rajpura
    Rajpura is an industrial and commercial town in the Patiala district of Punjab, India, known for its manufacturing base and strategic location as a transport hub.
  • C. Akbarpur
    Akbarpur is a town in the Indian state of Uttar Pradesh known as the birthplace of socialist leader Ram Manohar Lohia.
  • D. Shikohabad
    Shikohabad is a city in the Indian state of Uttar Pradesh, known for its location along major road and rail routes and its role as a regional commercial center.
  • E. Sheopur
    Sheopur is a town and district headquarters in the northern part of the Indian state of Madhya Pradesh, known for its proximity to the Kuno National Park and its largely rural, agrarian surroundings.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sikandarpur
Triple: [Yellow Line (Delhi Metro), hasStation, Sikandarpur]
Generated description
Sikandarpur is a metro station in the Delhi Metro network that serves the Gurugram area and provides an interchange with the Rapid Metro system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sikandarpur
Target entity description: Sikandarpur is a metro station in the Delhi Metro network that serves the Gurugram area and provides an interchange with the Rapid Metro system.
  • A. Rajanpur
    Rajanpur is a city in Pakistan known as an administrative and commercial center in the southern part of Punjab province.
  • B. Rajpura
    Rajpura is an industrial and commercial town in the Patiala district of Punjab, India, known for its manufacturing base and strategic location as a transport hub.
  • C. Akbarpur
    Akbarpur is a town in the Indian state of Uttar Pradesh known as the birthplace of socialist leader Ram Manohar Lohia.
  • D. Shikohabad
    Shikohabad is a city in the Indian state of Uttar Pradesh, known for its location along major road and rail routes and its role as a regional commercial center.
  • E. Sheopur
    Sheopur is a town and district headquarters in the northern part of the Indian state of Madhya Pradesh, known for its proximity to the Kuno National Park and its largely rural, agrarian surroundings.
  • F. None of above. chosen

Provenance (5 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_69ca8285d6488190a95d4c02d7354b53 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb163b32688190b463a9cd8fa3c690 completed March 31, 2026, 12:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc639b68a4819080acfca35e498cfa completed April 1, 2026, 12:15 a.m.
NEDg Description generation batch_69cc67e8eb78819093fde98c7b27a0c8 completed April 1, 2026, 12:33 a.m.
NED2 Entity disambiguation (via description) batch_69cc6946aa5481908d682957b818a3e9 completed April 1, 2026, 12:39 a.m.
Created at: March 30, 2026, 4:48 p.m.