Triple

T3084901
Position Surface form Disambiguated ID Type / Status
Subject Krishna Raja Sagara Dam E64346 entity
Predicate hasNameAbbreviation P8075 FINISHED
Object KRS
KRS is a major masonry dam in Karnataka, India, built across the Kaveri River and known for its role in irrigation, water supply, and the Brindavan Gardens.
 E324705 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: KRS | Statement: [Krishna Raja Sagara Dam, hasNameAbbreviation, KRS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KRS
Context triple: [Krishna Raja Sagara Dam, hasNameAbbreviation, KRS]
  • A. RKR
    RKR is the vehicle registration code assigned to vehicles registered in the Rymanów area of Poland.
  • B. Kru
    Kru is an actor known for appearing in the film "Chang: A Drama of the Wilderness."
  • C. KR
    KR is the vehicle registration code used on license plates for the German city of Krefeld.
  • D. KCS
    KCS is the commonly used abbreviation for Knox County Schools, a public school district serving Knox County, Tennessee.
  • E. KRK
    KRK is the IATA airport code for John Paul II International Airport Kraków–Balice, the main international airport serving Kraków, Poland.
  • 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: KRS
Triple: [Krishna Raja Sagara Dam, hasNameAbbreviation, KRS]
Generated description
KRS is a major masonry dam in Karnataka, India, built across the Kaveri River and known for its role in irrigation, water supply, and the Brindavan Gardens.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KRS
Target entity description: KRS is a major masonry dam in Karnataka, India, built across the Kaveri River and known for its role in irrigation, water supply, and the Brindavan Gardens.
  • A. RKR
    RKR is the vehicle registration code assigned to vehicles registered in the Rymanów area of Poland.
  • B. Kru
    Kru is an actor known for appearing in the film "Chang: A Drama of the Wilderness."
  • C. KR
    KR is the vehicle registration code used on license plates for the German city of Krefeld.
  • D. KCS
    KCS is the commonly used abbreviation for Knox County Schools, a public school district serving Knox County, Tennessee.
  • E. KRK
    KRK is the IATA airport code for John Paul II International Airport Kraków–Balice, the main international airport serving Kraków, Poland.
  • 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_69ad857bb4c88190a4cf27893fcabed8 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada1e98a1c8190b1dd4a0a47f7d6c6 completed March 8, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1f89e6f5c8190993794e2c9977ee6 completed March 11, 2026, 11:19 p.m.
NEDg Description generation batch_69b1f93d5b208190835093f453fd33ab completed March 11, 2026, 11:22 p.m.
NED2 Entity disambiguation (via description) batch_69b1f9ea9b908190a86e2b79a89e0283 completed March 11, 2026, 11:25 p.m.
Created at: March 8, 2026, 3:03 p.m.