Triple

T7842517
Position Surface form Disambiguated ID Type / Status
Subject Yellow Line (Delhi Metro) E181839 entity
Predicate hasStation P35 FINISHED
Object Saket
Saket is a prominent residential and commercial neighborhood in South Delhi, India, known for its shopping malls, cinemas, and proximity to major urban hubs.
E698912 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: Saket | Statement: [Yellow Line (Delhi Metro), hasStation, Saket]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saket
Context triple: [Yellow Line (Delhi Metro), hasStation, Saket]
  • A. Mankhurd
    Mankhurd is a suburban locality in eastern Mumbai known for its residential areas, railway station, and proximity to industrial and coastal zones.
  • B. Rajgurunagar
    Rajgurunagar is a town in Maharashtra, India, historically notable as the birthplace of Indian revolutionary freedom fighter Shivaram Rajguru.
  • C. Ajodhya Hills
    Ajodhya Hills is a scenic hill range in West Bengal, India, known for its forested landscapes, waterfalls, tribal villages, and trekking opportunities.
  • D. Dunyapur
    Dunyapur is a city in the Lodhran District of southern Punjab, Pakistan, known as a local commercial and agricultural center in the region.
  • E. Sayaji Baug
    Sayaji Baug is a large public garden and cultural complex in Vadodara, India, known for its zoo, museums, and recreational facilities.
  • 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: Saket
Triple: [Yellow Line (Delhi Metro), hasStation, Saket]
Generated description
Saket is a prominent residential and commercial neighborhood in South Delhi, India, known for its shopping malls, cinemas, and proximity to major urban hubs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Saket
Target entity description: Saket is a prominent residential and commercial neighborhood in South Delhi, India, known for its shopping malls, cinemas, and proximity to major urban hubs.
  • A. Mankhurd
    Mankhurd is a suburban locality in eastern Mumbai known for its residential areas, railway station, and proximity to industrial and coastal zones.
  • B. Rajgurunagar
    Rajgurunagar is a town in Maharashtra, India, historically notable as the birthplace of Indian revolutionary freedom fighter Shivaram Rajguru.
  • C. Ajodhya Hills
    Ajodhya Hills is a scenic hill range in West Bengal, India, known for its forested landscapes, waterfalls, tribal villages, and trekking opportunities.
  • D. Dunyapur
    Dunyapur is a city in the Lodhran District of southern Punjab, Pakistan, known as a local commercial and agricultural center in the region.
  • E. Sayaji Baug
    Sayaji Baug is a large public garden and cultural complex in Vadodara, India, known for its zoo, museums, and recreational facilities.
  • 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_69cb5aded4048190b18604963784352c completed March 31, 2026, 5:25 a.m.
NEDg Description generation batch_69cb762dd8348190bf74be4e7f5df1e7 completed March 31, 2026, 7:22 a.m.
NED2 Entity disambiguation (via description) batch_69cbb24068908190977b266366e5ceea completed March 31, 2026, 11:38 a.m.
Created at: March 30, 2026, 4:48 p.m.