Triple

T21290021
Position Surface form Disambiguated ID Type / Status
Subject Sarca River E524760 entity
Predicate hasTributary P415 FINISHED
Object Dal
Dal is a tributary stream of northern Italy that feeds into the Sarca River within the Alpine watershed.
 E1476526 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: Dal | Statement: [Sarca River, hasTributary, Dal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dal
Context triple: [Sarca River, hasTributary, Dal]
  • A. Dal
    Dal is the commonly used short form for Dalhousie University, a major public research university in Halifax, Nova Scotia, Canada.
  • B. Dal
    Dal is a village and railway station in Eidsvoll municipality in Norway, serving as a terminus for some Oslo commuter rail services.
  • C. Dar
    Dar is a character from the 1935 French film "Princesse Tam-Tam," which starred Josephine Baker.
  • D. Dar
    Dar is the warrior protagonist and titular Beastmaster of the Beastmaster fantasy franchise, known for his ability to telepathically communicate with and command animals.
  • E. Dren
    Dren is the human-animal hybrid creature central to the sci-fi horror film "Splice."
  • 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: Dal
Triple: [Sarca River, hasTributary, Dal]
Generated description
Dal is a tributary stream of northern Italy that feeds into the Sarca River within the Alpine watershed.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dal
Target entity description: Dal is a tributary stream of northern Italy that feeds into the Sarca River within the Alpine watershed.
  • A. Dal
    Dal is the commonly used short form for Dalhousie University, a major public research university in Halifax, Nova Scotia, Canada.
  • B. Dal
    Dal is a village and railway station in Eidsvoll municipality in Norway, serving as a terminus for some Oslo commuter rail services.
  • C. Dar
    Dar is a character from the 1935 French film "Princesse Tam-Tam," which starred Josephine Baker.
  • D. Dar
    Dar is the warrior protagonist and titular Beastmaster of the Beastmaster fantasy franchise, known for his ability to telepathically communicate with and command animals.
  • E. Dren
    Dren is the human-animal hybrid creature central to the sci-fi horror film "Splice."
  • 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_69e0b5171f6c8190a5d57201ede73811 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e736d9467881908ec5b1dec76e6f5d completed April 21, 2026, 8:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09980e17f0819087ae4fd3712fb584 completed May 17, 2026, 10:27 a.m.
NEDg Description generation batch_6a0998d6b37881908a1b09afc1f67746 completed May 17, 2026, 10:30 a.m.
NED2 Entity disambiguation (via description) batch_6a0999884e0481909b7ea54cd7ef87b5 completed May 17, 2026, 10:33 a.m.
Created at: April 16, 2026, 4:03 p.m.