Triple

T6025489
Position Surface form Disambiguated ID Type / Status
Subject Salem E134166 entity
Predicate nearbyHillStation P19493 FINISHED
Object Yercaud
Yercaud is a scenic hill station in Tamil Nadu’s Eastern Ghats, known for its cool climate, coffee plantations, and views over the surrounding plains.
 E564793 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: Yercaud | Statement: [Salem, nearbyHillStation, Yercaud]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yercaud
Context triple: [Salem, nearbyHillStation, Yercaud]
  • A. Coonoor
    Coonoor is a scenic hill station in the Nilgiri Hills of Tamil Nadu, India, known for its tea plantations, cool climate, and colonial-era charm.
  • B. Munnar
    Munnar is a popular hill station in the Western Ghats of southern India, renowned for its sprawling tea plantations, cool climate, and scenic mountain landscapes.
  • C. Ooty
    Ooty is a popular hill station in the Nilgiri Hills of southern India, known for its cool climate, tea plantations, and scenic mountain landscapes.
  • D. Karur
    Karur is a town in the Indian state of Tamil Nadu known as an important textile, bus body building, and industrial center on the banks of the Amaravathi River.
  • E. Kodaikanal
    Kodaikanal is a popular hill station in southern India known for its cool climate, scenic lakes, and lush, forested landscapes.
  • 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: Yercaud
Triple: [Salem, nearbyHillStation, Yercaud]
Generated description
Yercaud is a scenic hill station in Tamil Nadu’s Eastern Ghats, known for its cool climate, coffee plantations, and views over the surrounding plains.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yercaud
Target entity description: Yercaud is a scenic hill station in Tamil Nadu’s Eastern Ghats, known for its cool climate, coffee plantations, and views over the surrounding plains.
  • A. Coonoor
    Coonoor is a scenic hill station in the Nilgiri Hills of Tamil Nadu, India, known for its tea plantations, cool climate, and colonial-era charm.
  • B. Munnar
    Munnar is a popular hill station in the Western Ghats of southern India, renowned for its sprawling tea plantations, cool climate, and scenic mountain landscapes.
  • C. Ooty
    Ooty is a popular hill station in the Nilgiri Hills of southern India, known for its cool climate, tea plantations, and scenic mountain landscapes.
  • D. Karur
    Karur is a town in the Indian state of Tamil Nadu known as an important textile, bus body building, and industrial center on the banks of the Amaravathi River.
  • E. Kodaikanal
    Kodaikanal is a popular hill station in southern India known for its cool climate, scenic lakes, and lush, forested landscapes.
  • 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.