Triple

T26975060
Position Surface form Disambiguated ID Type / Status
Subject Tollygunge E679428 entity
Predicate hasKMCWard P148101 FINISHED
Object Ward 96
Ward 96 is an administrative municipal ward within the Kolkata Municipal Corporation, covering part of the Tollygunge area in Kolkata, India.
 E1750366 NE FINISHED

How this triple was built (3 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: Ward 96 | Statement: [Tollygunge, hasKMCWard, Ward 96]
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: Ward 96
Triple: [Tollygunge, hasKMCWard, Ward 96]
Generated description
Ward 96 is an administrative municipal ward within the Kolkata Municipal Corporation, covering part of the Tollygunge area in Kolkata, India.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasKMCWard
Context triple: [Tollygunge, hasKMCWard, Ward 96]
  • A. containsWard
    Indicates that one entity includes, encompasses, or has within it a ward (such as a district, division, or dependent person) as part of its scope or responsibility.
  • B. isWardOf
    Indicates that one entity is under the guardianship, protection, or legal care of another entity as their ward.
  • C. hasMunicipalWards chosen
    Indicates that a municipality is divided into and associated with one or more municipal wards as its internal administrative units.
  • D. hasElectoralWardStatus
    Indicates that an entity holds the official status or designation of an electoral ward within an administrative or political system.
  • E. hasNeighbouringWard
    Indicates that one ward is directly adjacent to or borders another ward geographically.
  • F. None of above.

Provenance (6 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_69eeeb507a7081909d516e1fa08b7d29 completed April 27, 2026, 4:51 a.m.
NER Named-entity recognition batch_69f621273ac4819083f71dbebe55b082 completed May 2, 2026, 4:07 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1229abe2508190812e065ac379e9d7 completed May 23, 2026, 10:26 p.m.
NEDg Description generation batch_6a122a6dd674819088bf5cf55ac55ec5 completed May 23, 2026, 10:30 p.m.
NED2 Entity disambiguation (via description) batch_6a122b4cd8ac8190b23c0ef69951fe05 completed May 23, 2026, 10:33 p.m.
PD Predicate disambiguation batch_69f61b3ee7b08190a0a1bc5d26b757aa completed May 2, 2026, 3:41 p.m.
Created at: April 27, 2026, 6:42 a.m.