Triple

T36313412
Position Surface form Disambiguated ID Type / Status
Subject Palampet village E894121 entity
Predicate hasNearbyLakeOrTank P17985 FINISHED
Object Ramappa Lake
Ramappa Lake is a historic man-made reservoir in Telangana, India, known for its scenic surroundings and association with the nearby Kakatiya-era Ramappa Temple.
 E2178099 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: Ramappa Lake | Statement: [Palampet village, hasNearbyLakeOrTank, Ramappa Lake]
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: Ramappa Lake
Triple: [Palampet village, hasNearbyLakeOrTank, Ramappa Lake]
Generated description
Ramappa Lake is a historic man-made reservoir in Telangana, India, known for its scenic surroundings and association with the nearby Kakatiya-era Ramappa Temple.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasNearbyLakeOrTank
Context triple: [Palampet village, hasNearbyLakeOrTank, Ramappa Lake]
  • A. hasNearbyLake chosen
    Indicates that one entity is located close to or in the vicinity of a lake.
  • B. hasNearbyLakeRegion
    Indicates that one region is located close to a lake or lake-dominated area.
  • C. hasNearbyArtificialLake
    Indicates that one entity is located close to an artificial lake associated with or near another entity.
  • D. hasNearbyWater
    Indicates that one entity is located close to a body of water associated with or relevant to another entity.
  • E. hasLakes
    Indicates that one entity possesses, contains, or is characterized by the presence of one or more lakes.
  • 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_69f76e4d1a788190a6ab6ccca28547a7 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_6a0058c341ac8190825067dc25158839 completed May 10, 2026, 10:06 a.m.
NED1 Entity disambiguation (via context triple) batch_6a397d8a69a881908185efadfc049388 completed June 22, 2026, 6:23 p.m.
NEDg Description generation batch_6a397eb358e081908979542ee1da30d4 completed June 22, 2026, 6:28 p.m.
NED2 Entity disambiguation (via description) batch_6a397f8e6c948190840bc5786c6ad123 completed June 22, 2026, 6:31 p.m.
PD Predicate disambiguation batch_6a005857249c81908b27587b84d84dbb completed May 10, 2026, 10:05 a.m.
Created at: May 3, 2026, 4:09 p.m.