Triple

T1270121
Position Surface form Disambiguated ID Type / Status
Subject Kathiawar Peninsula E15689 entity
Predicate containsCity P294 FINISHED
Object Jetpur
Jetpur is a textile and dyeing hub town in Gujarat, India, known for its cotton saree printing and screen-printing industries.
 E177124 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: Jetpur | Statement: [Kathiawar Peninsula, containsCity, Jetpur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jetpur
Context triple: [Kathiawar Peninsula, containsCity, Jetpur]
  • A. Surendranagar
    Surendranagar is a city in the Indian state of Gujarat known historically as a regional trade and administrative center.
  • B. Dindori
    Dindori is a town and administrative center in the central Indian state of Madhya Pradesh, known for its surrounding forests, tribal communities, and proximity to natural and cultural heritage sites.
  • C. Jamnagar
    Jamnagar is a city in the Indian state of Gujarat, known for its oil refineries, brass industries, and proximity to the Gulf of Kutch.
  • D. Kathiawar
    Kathiawar is a peninsula in western India, in present-day Gujarat, historically known for its princely states and coastal trade centers.
  • E. Junagadh
    Junagadh is a historic city in western India known for its ancient fort, Buddhist caves, and proximity to the Girnar hills and Gir National Park.
  • 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: Jetpur
Triple: [Kathiawar Peninsula, containsCity, Jetpur]
Generated description
Jetpur is a textile and dyeing hub town in Gujarat, India, known for its cotton saree printing and screen-printing industries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jetpur
Target entity description: Jetpur is a textile and dyeing hub town in Gujarat, India, known for its cotton saree printing and screen-printing industries.
  • A. Surendranagar
    Surendranagar is a city in the Indian state of Gujarat known historically as a regional trade and administrative center.
  • B. Dindori
    Dindori is a town and administrative center in the central Indian state of Madhya Pradesh, known for its surrounding forests, tribal communities, and proximity to natural and cultural heritage sites.
  • C. Jamnagar
    Jamnagar is a city in the Indian state of Gujarat, known for its oil refineries, brass industries, and proximity to the Gulf of Kutch.
  • D. Kathiawar
    Kathiawar is a peninsula in western India, in present-day Gujarat, historically known for its princely states and coastal trade centers.
  • E. Junagadh
    Junagadh is a historic city in western India known for its ancient fort, Buddhist caves, and proximity to the Girnar hills and Gir National Park.
  • 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_69a4935a94308190bb92555b79032824 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4c0691d70819088e57c78ff34af1e completed March 1, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad36f6d9288190ad64dc1bc9e9f8c1 completed March 8, 2026, 8:44 a.m.
NEDg Description generation batch_69ad376688bc8190b04e04e8cf7efd86 completed March 8, 2026, 8:46 a.m.
NED2 Entity disambiguation (via description) batch_69ad38e6c1dc8190af0252ac9a3b346a completed March 8, 2026, 8:52 a.m.
Created at: March 1, 2026, 7:50 p.m.