Triple

T12306429
Position Surface form Disambiguated ID Type / Status
Subject Kadugodi Tree Park metro station E293363 entity
Predicate hasStationCode P1289 FINISHED
Object KDTK
KDTK is the station code for Kadugodi Tree Park metro station on the Namma Metro network in Bengaluru, India.
E974106 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: KDTK | Statement: [Kadugodi Tree Park metro station, hasStationCode, KDTK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KDTK
Context triple: [Kadugodi Tree Park metro station, hasStationCode, KDTK]
  • A. DTK
    DTK is Apple’s Intel-based Developer Transition Kit Mac mini-style prototype used to help developers prepare their apps for the company’s transition to Apple Silicon.
  • B. DKT
    DKT is the National Rail station code for Dorking West railway station in Surrey, England.
  • C. DKG
    DKG is the National Rail station code for Dorking railway station in Surrey, England.
  • D. DKH
    DKH is the ICAO airline designator used to identify Juneyao Air in international aviation operations.
  • E. KDPA
    KDPA is the ICAO airport code for DuPage Airport, a general aviation and reliever airport serving the Chicago metropolitan area in Illinois, USA.
  • 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: KDTK
Triple: [Kadugodi Tree Park metro station, hasStationCode, KDTK]
Generated description
KDTK is the station code for Kadugodi Tree Park metro station on the Namma Metro network in Bengaluru, India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KDTK
Target entity description: KDTK is the station code for Kadugodi Tree Park metro station on the Namma Metro network in Bengaluru, India.
  • A. DTK
    DTK is Apple’s Intel-based Developer Transition Kit Mac mini-style prototype used to help developers prepare their apps for the company’s transition to Apple Silicon.
  • B. DKT
    DKT is the National Rail station code for Dorking West railway station in Surrey, England.
  • C. DKG
    DKG is the National Rail station code for Dorking railway station in Surrey, England.
  • D. DKH
    DKH is the ICAO airline designator used to identify Juneyao Air in international aviation operations.
  • E. KDPA
    KDPA is the ICAO airport code for DuPage Airport, a general aviation and reliever airport serving the Chicago metropolitan area in Illinois, USA.
  • 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_69d6ab6a2b50819082f6aedd32ed608a completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f00695c8190b7365e4593631690 completed April 10, 2026, 6:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e7f8fd08190bdef3bb761d53f97 completed May 2, 2026, 3:55 p.m.
NEDg Description generation batch_69f61f5cc5608190a67a888eb5136ada completed May 2, 2026, 3:59 p.m.
NED2 Entity disambiguation (via description) batch_69f62006afcc8190b8e3b55a5fd8eaca completed May 2, 2026, 4:02 p.m.
Created at: April 8, 2026, 9:53 p.m.