Triple

T18447248
Position Surface form Disambiguated ID Type / Status
Subject Knowledge Park II E450687 entity
Predicate hasStationCode P1289 FINISHED
Object KPII
KPII is the station code for Knowledge Park II railway station in Greater Noida, Uttar Pradesh, India.
 E1325299 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: KPII | Statement: [Knowledge Park II, hasStationCode, KPII]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KPII
Context triple: [Knowledge Park II, hasStationCode, KPII]
  • A. KPIE
    KPIE is the ICAO airport code for St. Pete–Clearwater International Airport, a commercial airport serving the Tampa Bay area in Florida, United States.
  • B. KPIB
    KPIB is the ICAO airport code for Hattiesburg–Laurel Regional Airport in Mississippi, United States.
  • C. KPIA
    KPIA is the ICAO airport code for General Wayne A. Downing Peoria International Airport, a commercial and general aviation airport serving the Peoria, Illinois area.
  • D. KPI
    KPI is a major Ukrainian technical university in Kyiv, renowned for its engineering, science, and technology programs.
  • E. KPS
    KPS is the station code for Kempsey railway station in New South Wales, Australia.
  • 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: KPII
Triple: [Knowledge Park II, hasStationCode, KPII]
Generated description
KPII is the station code for Knowledge Park II railway station in Greater Noida, Uttar Pradesh, India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KPII
Target entity description: KPII is the station code for Knowledge Park II railway station in Greater Noida, Uttar Pradesh, India.
  • A. KPIE
    KPIE is the ICAO airport code for St. Pete–Clearwater International Airport, a commercial airport serving the Tampa Bay area in Florida, United States.
  • B. KPIB
    KPIB is the ICAO airport code for Hattiesburg–Laurel Regional Airport in Mississippi, United States.
  • C. KPIA
    KPIA is the ICAO airport code for General Wayne A. Downing Peoria International Airport, a commercial and general aviation airport serving the Peoria, Illinois area.
  • D. KPI
    KPI is a major Ukrainian technical university in Kyiv, renowned for its engineering, science, and technology programs.
  • E. KPS
    KPS is the station code for Kempsey railway station in New South Wales, Australia.
  • 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_69d8d38345688190b565eac2e4cd7935 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e52645cb88819086b0e70b6613edcd completed April 19, 2026, 7 p.m.
NED1 Entity disambiguation (via context triple) batch_6a040fe1ac6c8190a803ce4b048e2520 completed May 13, 2026, 5:45 a.m.
NEDg Description generation batch_6a04123430308190af22a11b2151c8b8 completed May 13, 2026, 5:55 a.m.
NED2 Entity disambiguation (via description) batch_6a04131eb4988190af4024bfcad648bc completed May 13, 2026, 5:58 a.m.
Created at: April 10, 2026, 11:30 a.m.