Triple

T25674629
Position Surface form Disambiguated ID Type / Status
Subject Kakdwip E643771 entity
Predicate hasNearbyPortOrJetty P63633 FINISHED
Object Kakdwip jetty
Kakdwip jetty is a riverine passenger and cargo terminal in West Bengal, India, serving as a key transport link between Kakdwip and nearby islands in the Sundarbans region.
 E643771 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: Kakdwip jetty | Statement: [Kakdwip, hasNearbyPortOrJetty, Kakdwip jetty]
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: Kakdwip jetty
Triple: [Kakdwip, hasNearbyPortOrJetty, Kakdwip jetty]
Generated description
Kakdwip jetty is a riverine passenger and cargo terminal in West Bengal, India, serving as a key transport link between Kakdwip and nearby islands in the Sundarbans region.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasNearbyPortOrJetty
Context triple: [Kakdwip, hasNearbyPortOrJetty, Kakdwip jetty]
  • A. hasNearbyPortAccess chosen
    Indicates that an entity is located close enough to a port to feasibly use it for access or transport.
  • B. hasPortOn
    Indicates that one entity possesses or is located adjacent to a port situated on another specified geographic or infrastructural feature (such as a coast, river, or lake).
  • C. isPortFor
    Indicates that one entity serves as a port, interface, or connection point for another entity.
  • D. hasPorts
    Indicates that an entity is equipped with or provides access points (ports) for connection, communication, or interface with other entities or systems.
  • E. hasNearbyPortionOf
    Indicates that one entity has a portion that is spatially close to, but not necessarily touching, another entity or region.
  • 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_69e77e7f69808190ad27df1006f6037a completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f6a28c7c148190bfc980aad9f678ca completed May 3, 2026, 1:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a10c15b0a548190b7c365c636bb5e3c completed May 22, 2026, 8:49 p.m.
NEDg Description generation batch_6a10c2489ee48190a35add76cdf94b8b completed May 22, 2026, 8:53 p.m.
NED2 Entity disambiguation (via description) batch_6a10c30975b08190b22c052dab147afe completed May 22, 2026, 8:56 p.m.
PD Predicate disambiguation batch_69f69fe1e3c88190830bb2e9f407357e completed May 3, 2026, 1:07 a.m.
Created at: April 21, 2026, 7:34 p.m.