Triple

T6025477
Position Surface form Disambiguated ID Type / Status
Subject Salem E134166 entity
Predicate airportLocation P30013 FINISHED
Object Kaamalapuram
Kaamalapuram is a locality in Tamil Nadu, India, known primarily for hosting the airport that serves the city of Salem.
 E564786 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: Kaamalapuram | Statement: [Salem, airportLocation, Kaamalapuram]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kaamalapuram
Context triple: [Salem, airportLocation, Kaamalapuram]
  • A. Kotturpuram
    Kotturpuram is a residential neighborhood in Chennai, India, known for its proximity to educational institutions and its location along the Adyar River.
  • B. Mayilappur
    Mayilappur is the traditional Tamil name for Mylapore, a historic and culturally significant neighborhood in Chennai, India.
  • C. Palamoor
    Palamoor is the historical name of Mahbubnagar, a town and district headquarters in the Indian state of Telangana.
  • D. Orathuppalayam
    Orathuppalayam is a locality in Tamil Nadu, India, known for its proximity to the Noyyal River and the Orathuppalayam Dam, which has been central to regional water management and pollution issues.
  • E. Kumbakonam
    Kumbakonam is a historic temple town in the Indian state of Tamil Nadu, renowned for its rich cultural heritage, ancient temples, and traditional learning.
  • 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: Kaamalapuram
Triple: [Salem, airportLocation, Kaamalapuram]
Generated description
Kaamalapuram is a locality in Tamil Nadu, India, known primarily for hosting the airport that serves the city of Salem.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kaamalapuram
Target entity description: Kaamalapuram is a locality in Tamil Nadu, India, known primarily for hosting the airport that serves the city of Salem.
  • A. Kotturpuram
    Kotturpuram is a residential neighborhood in Chennai, India, known for its proximity to educational institutions and its location along the Adyar River.
  • B. Mayilappur
    Mayilappur is the traditional Tamil name for Mylapore, a historic and culturally significant neighborhood in Chennai, India.
  • C. Palamoor
    Palamoor is the historical name of Mahbubnagar, a town and district headquarters in the Indian state of Telangana.
  • D. Orathuppalayam
    Orathuppalayam is a locality in Tamil Nadu, India, known for its proximity to the Noyyal River and the Orathuppalayam Dam, which has been central to regional water management and pollution issues.
  • E. Kumbakonam
    Kumbakonam is a historic temple town in the Indian state of Tamil Nadu, renowned for its rich cultural heritage, ancient temples, and traditional learning.
  • 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_69c008742a5c8190b9cb9c2787a3d8b3 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04fc08c5c819085afab5b18bce4d1 completed March 22, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11375b4448190ad3087b21ac67329 completed March 23, 2026, 10:18 a.m.
NEDg Description generation batch_69c11551bec88190be77db3ec96045ad completed March 23, 2026, 10:26 a.m.
NED2 Entity disambiguation (via description) batch_69c115f88e948190a3ea11b33742779c completed March 23, 2026, 10:29 a.m.
Created at: March 22, 2026, 4:07 p.m.