Triple

T26049861
Position Surface form Disambiguated ID Type / Status
Subject Howrah–Kharagpur railway line E647939 entity
Predicate servesIndustrialArea P74434 FINISHED
Object Haldia region (via Panskura)
The Haldia region (via Panskura) is an important industrial and port area in West Bengal, India, connected to the broader rail network through the Howrah–Kharagpur line.
 E1708803 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: Haldia region (via Panskura) | Statement: [Howrah–Kharagpur railway line, servesIndustrialArea, Haldia region (via Panskura)]
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: Haldia region (via Panskura)
Triple: [Howrah–Kharagpur railway line, servesIndustrialArea, Haldia region (via Panskura)]
Generated description
The Haldia region (via Panskura) is an important industrial and port area in West Bengal, India, connected to the broader rail network through the Howrah–Kharagpur line.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: servesIndustrialArea
Context triple: [Howrah–Kharagpur railway line, servesIndustrialArea, Haldia region (via Panskura)]
  • A. servesIndustrialRegion chosen
    Indicates that an entity provides services or support to an industrial region, fulfilling functional or operational needs of that area.
  • B. isIndustrialAreaOf
    Indicates that a location functions primarily as an industrial zone or district associated with a specified area or jurisdiction.
  • C. servesIndustrialCity
    Indicates that something functions to provide services, support, or utility to an industrial city.
  • D. hasIndustrialAreaType
    Indicates that an entity’s industrial area is classified as a specific type or category of industrial zone.
  • E. connectsToIndustrialArea
    Indicates that one entity has a direct link, route, or access connection to an industrial area.
  • 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_69e77e8d419481908004e6318d28aaab completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f7221dc9a88190bb8194fcc29c42bc completed May 3, 2026, 10:23 a.m.
NED1 Entity disambiguation (via context triple) batch_6a111b1f46dc81909ce05e7414d8510c completed May 23, 2026, 3:12 a.m.
NEDg Description generation batch_6a111db5c5f88190b8bc2ebf53c9bafb completed May 23, 2026, 3:23 a.m.
NED2 Entity disambiguation (via description) batch_6a111e409b288190891d6cde7af82c7a completed May 23, 2026, 3:25 a.m.
PD Predicate disambiguation batch_69f72153a9188190b02adc84e1be4af8 completed May 3, 2026, 10:20 a.m.
Created at: April 22, 2026, 9:10 a.m.