Triple

T5499412
Position Surface form Disambiguated ID Type / Status
Subject Pascal's law E144288 entity
Predicate relatedTo P37 FINISHED
Object Pascal (unit)
Pascal (unit) is the SI derived unit of pressure, defined as one newton of force applied per square meter.
 E529846 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: Pascal (unit) | Statement: [Pascal's law, relatedTo, Pascal (unit)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pascal (unit)
Context triple: [Pascal's law, relatedTo, Pascal (unit)]
  • A. Pouzin
    Pouzin is a French surname most notably associated with Louis Pouzin, a pioneering computer scientist whose work on datagram-based networking helped lay the foundations of the modern internet.
  • B. Raschi
    Raschi is an Italian surname most notably associated with Vic Raschi, a star pitcher for the New York Yankees in the late 1940s and early 1950s.
  • C. Pascale
    Pascale is a given name of French origin used for both males and females, derived from the Latin word for "Easter" and related to names like Pascal and Pascual.
  • D. Lasserre
    Lasserre is a small rural commune in southwestern France known for being the later-life home of the influential mathematician Alexander Grothendieck.
  • E. Sapiston
    Sapiston is a small rural village located in the English county of Suffolk.
  • 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: Pascal (unit)
Triple: [Pascal's law, relatedTo, Pascal (unit)]
Generated description
Pascal (unit) is the SI derived unit of pressure, defined as one newton of force applied per square meter.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pascal (unit)
Target entity description: Pascal (unit) is the SI derived unit of pressure, defined as one newton of force applied per square meter.
  • A. Pouzin
    Pouzin is a French surname most notably associated with Louis Pouzin, a pioneering computer scientist whose work on datagram-based networking helped lay the foundations of the modern internet.
  • B. Raschi
    Raschi is an Italian surname most notably associated with Vic Raschi, a star pitcher for the New York Yankees in the late 1940s and early 1950s.
  • C. Pascale
    Pascale is a given name of French origin used for both males and females, derived from the Latin word for "Easter" and related to names like Pascal and Pascual.
  • D. Lasserre
    Lasserre is a small rural commune in southwestern France known for being the later-life home of the influential mathematician Alexander Grothendieck.
  • E. Sapiston
    Sapiston is a small rural village located in the English county of Suffolk.
  • 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_69c008f5a2748190bce7a39aabf87a6d completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01b921884819082fe30100c71e516 completed March 22, 2026, 4:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69c02796cac88190abd8d58eb7ae1267 completed March 22, 2026, 5:32 p.m.
NEDg Description generation batch_69c034158a148190b9b63d7e5e65303f completed March 22, 2026, 6:25 p.m.
NED2 Entity disambiguation (via description) batch_69c034a04d708190922acece40008d7b completed March 22, 2026, 6:27 p.m.
Created at: March 22, 2026, 3:32 p.m.