Triple

T16265294
Position Surface form Disambiguated ID Type / Status
Subject Noida Metro E394859 entity
Predicate abbreviation P43 FINISHED
Object NMRC
NMRC is the Noida Metro Rail Corporation, the agency responsible for developing and operating the metro rail network in Noida and Greater Noida, India.
E1203751 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: NMRC | Statement: [Noida Metro, abbreviation, NMRC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NMRC
Context triple: [Noida Metro, abbreviation, NMRC]
  • A. NRC
    NRC is Canada’s primary national research and technology organization, conducting scientific research and supporting innovation across a wide range of fields.
  • B. NRC
    NRC is the National Rail station code assigned to Newbury Racecourse railway station in Berkshire, England.
  • C. NRC
    NRC is the commonly used abbreviation for the NATO-Russia Council, a forum established to facilitate consultation and cooperation between NATO member states and Russia.
  • D. NRC
    NRC is a former Australian national rugby union competition that served as a key development pathway between club rugby and Super Rugby.
  • E. NDMC
    NDMC is the civic administrative body responsible for municipal services and infrastructure in New Delhi’s central and VIP areas.
  • 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: NMRC
Triple: [Noida Metro, abbreviation, NMRC]
Generated description
NMRC is the Noida Metro Rail Corporation, the agency responsible for developing and operating the metro rail network in Noida and Greater Noida, India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: NMRC
Target entity description: NMRC is the Noida Metro Rail Corporation, the agency responsible for developing and operating the metro rail network in Noida and Greater Noida, India.
  • A. NRC
    NRC is Canada’s primary national research and technology organization, conducting scientific research and supporting innovation across a wide range of fields.
  • B. NRC
    NRC is the National Rail station code assigned to Newbury Racecourse railway station in Berkshire, England.
  • C. NRC
    NRC is the commonly used abbreviation for the NATO-Russia Council, a forum established to facilitate consultation and cooperation between NATO member states and Russia.
  • D. NRC
    NRC is a former Australian national rugby union competition that served as a key development pathway between club rugby and Super Rugby.
  • E. NDMC
    NDMC is the civic administrative body responsible for municipal services and infrastructure in New Delhi’s central and VIP areas.
  • 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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e245c73944819085633e6d2a69bae9 completed April 17, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017b877088190893a1f012e5d2463 completed May 10, 2026, 5:29 a.m.
NEDg Description generation batch_6a00183849bc8190a1896d240d8f91f0 completed May 10, 2026, 5:31 a.m.
NED2 Entity disambiguation (via description) batch_6a00190887088190a5a0eb2cfd674c98 completed May 10, 2026, 5:35 a.m.
Created at: April 10, 2026, 5:05 a.m.