Triple

T6541416
Position Surface form Disambiguated ID Type / Status
Subject Mayapur E168296 entity
Predicate locatedNear P294 FINISHED
Object Navadvip
Navadvip is a historic town in West Bengal, India, renowned as a major center of Gaudiya Vaishnavism and the birthplace of the saint Chaitanya Mahaprabhu.
 E605321 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: Navadvip | Statement: [Mayapur, locatedNear, Navadvip]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Navadvip
Context triple: [Mayapur, locatedNear, Navadvip]
  • A. Jahaz
    Jahaz is an ancient Near Eastern town known from biblical and Moabite inscriptions as a key battle site in the conflicts between Israel and Moab.
  • B. Outremer
    Outremer was the collective name for the Crusader states established by Western European Christians in the Levant during the Middle Ages.
  • C. Taganga
    Taganga is a small fishing village and popular backpacker destination on Colombia’s Caribbean coast, known for its beaches, diving, and proximity to Tayrona National Natural Park.
  • D. Nauta
    Nauta is a small river port town in Peru’s Loreto region, serving as a key gateway for tourism and access to the Pacaya-Samiria National Reserve in the Amazon rainforest.
  • E. Navigo
    Navigo is the contactless smart card ticketing system used for public transportation across the Île-de-France region, including Paris.
  • 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: Navadvip
Triple: [Mayapur, locatedNear, Navadvip]
Generated description
Navadvip is a historic town in West Bengal, India, renowned as a major center of Gaudiya Vaishnavism and the birthplace of the saint Chaitanya Mahaprabhu.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Navadvip
Target entity description: Navadvip is a historic town in West Bengal, India, renowned as a major center of Gaudiya Vaishnavism and the birthplace of the saint Chaitanya Mahaprabhu.
  • A. Jahaz
    Jahaz is an ancient Near Eastern town known from biblical and Moabite inscriptions as a key battle site in the conflicts between Israel and Moab.
  • B. Outremer
    Outremer was the collective name for the Crusader states established by Western European Christians in the Levant during the Middle Ages.
  • C. Taganga
    Taganga is a small fishing village and popular backpacker destination on Colombia’s Caribbean coast, known for its beaches, diving, and proximity to Tayrona National Natural Park.
  • D. Nauta
    Nauta is a small river port town in Peru’s Loreto region, serving as a key gateway for tourism and access to the Pacaya-Samiria National Reserve in the Amazon rainforest.
  • E. Navigo
    Navigo is the contactless smart card ticketing system used for public transportation across the Île-de-France region, including Paris.
  • 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_69c68a51564081909e93aee0dbd9cca3 completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6add7369c8190919cd7c07012a994 completed March 27, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d541f25081909a4b218fd38718c6 completed March 27, 2026, 7:06 p.m.
NEDg Description generation batch_69c6d82753288190bb8cd18254feee2d completed March 27, 2026, 7:19 p.m.
NED2 Entity disambiguation (via description) batch_69c6d92bc2508190b0e1eaf8b46c958e completed March 27, 2026, 7:23 p.m.
Created at: March 27, 2026, 1:50 p.m.