Triple

T18132630
Position Surface form Disambiguated ID Type / Status
Subject Dehradun district E434051 entity
Predicate containsCantonment P5501 FINISHED
Object Clement Town
Clement Town is a cantonment area and suburban locality in Dehradun, Uttarakhand, known for its military establishments and educational institutions.
E1308794 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: Clement Town | Statement: [Dehradun district, containsCantonment, Clement Town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clement Town
Context triple: [Dehradun district, containsCantonment, Clement Town]
  • A. Tylorstown
    Tylorstown is a former coal mining village in the Rhondda Fach valley in Rhondda Cynon Taf, Wales.
  • B. Shingletown
    Shingletown is a small rural community in Northern California known for its forested setting near Lassen Volcanic National Park.
  • C. Milltown
    Milltown is the former name of Downingtown, a historic borough in Chester County, Pennsylvania.
  • D. Milltown
    Milltown is a stop on Dublin's Luas light rail system, serving the Milltown area in the south of the city.
  • E. Milltown
    Milltown is a small borough in central New Jersey known for its suburban residential character and proximity to major regional highways and cities.
  • 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: Clement Town
Triple: [Dehradun district, containsCantonment, Clement Town]
Generated description
Clement Town is a cantonment area and suburban locality in Dehradun, Uttarakhand, known for its military establishments and educational institutions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Clement Town
Target entity description: Clement Town is a cantonment area and suburban locality in Dehradun, Uttarakhand, known for its military establishments and educational institutions.
  • A. Tylorstown
    Tylorstown is a former coal mining village in the Rhondda Fach valley in Rhondda Cynon Taf, Wales.
  • B. Shingletown
    Shingletown is a small rural community in Northern California known for its forested setting near Lassen Volcanic National Park.
  • C. Milltown
    Milltown is the former name of Downingtown, a historic borough in Chester County, Pennsylvania.
  • D. Milltown
    Milltown is a stop on Dublin's Luas light rail system, serving the Milltown area in the south of the city.
  • E. Milltown
    Milltown is a small hamlet within the Town of Southeast in Putnam County, New York.
  • 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_69d8b909e8cc81908df4cc2b8ea6d11f completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4de04321c81909c0b9d47757720fd completed April 19, 2026, 1:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0385489c3c8190b7e20d6c8c75ea16 completed May 12, 2026, 7:53 p.m.
NEDg Description generation batch_6a038acaf8f48190b88562c0a1df9109 completed May 12, 2026, 8:17 p.m.
NED2 Entity disambiguation (via description) batch_6a038b4132bc8190992cae1400894fef completed May 12, 2026, 8:19 p.m.
Created at: April 10, 2026, 10:29 a.m.