Triple

T14150502
Position Surface form Disambiguated ID Type / Status
Subject Kacheguda railway station E350664 entity
Predicate hasStationCode P1289 FINISHED
Object KCG
KCG is the station code for Kacheguda railway station, a major railway hub in Hyderabad, India.
 E1082315 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: KCG | Statement: [Kacheguda railway station, hasStationCode, KCG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KCG
Context triple: [Kacheguda railway station, hasStationCode, KCG]
  • A. KCGS
    KCGS is the ICAO airport code for College Park Airport, a historic general aviation airfield located in College Park, Maryland, USA.
  • B. CKG
    CKG is the IATA airport code for Chongqing Jiangbei International Airport, a major aviation hub serving the city of Chongqing in southwest China.
  • C. KCK
    KCK is an umbrella organization that unites various Kurdish political and militant groups, including the PKK, under a shared ideological and administrative framework.
  • D. KGCK
    KGCK is the ICAO airport code for Garden City Regional Airport in Garden City, Kansas, United States.
  • E. KGC
    KGC is the IATA airport code for Kingscote Airport, the main air gateway to Kangaroo Island in South 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: KCG
Triple: [Kacheguda railway station, hasStationCode, KCG]
Generated description
KCG is the station code for Kacheguda railway station, a major railway hub in Hyderabad, India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KCG
Target entity description: KCG is the station code for Kacheguda railway station, a major railway hub in Hyderabad, India.
  • A. KCGS
    KCGS is the ICAO airport code for College Park Airport, a historic general aviation airfield located in College Park, Maryland, USA.
  • B. CKG
    CKG is the IATA airport code for Chongqing Jiangbei International Airport, a major aviation hub serving the city of Chongqing in southwest China.
  • C. KCK
    KCK is an umbrella organization that unites various Kurdish political and militant groups, including the PKK, under a shared ideological and administrative framework.
  • D. KGCK
    KGCK is the ICAO airport code for Garden City Regional Airport in Garden City, Kansas, United States.
  • E. KGC
    KGC is the IATA airport code for Kingscote Airport, the main air gateway to Kangaroo Island in South 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_69d8278775fc8190b0802d22ca2f495d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6124e23481909e5132a40a1d8624 completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf21f8c8819097ff26e6bb345b52 completed May 7, 2026, 6:51 p.m.
NEDg Description generation batch_69fce0cc78e881909090ac42a97ebb12 completed May 7, 2026, 6:58 p.m.
NED2 Entity disambiguation (via description) batch_69fce1f53a8881909fd1258729a9879d completed May 7, 2026, 7:03 p.m.
Created at: April 10, 2026, 12:56 a.m.