Triple

T18255940
Position Surface form Disambiguated ID Type / Status
Subject PureScript E437222 entity
Predicate hasCoreLibrary P123292 FINISHED
Object purescript-either
purescript-either is a core PureScript library that provides the Either type and related utilities for representing computations that may fail or return alternative results.
E1313839 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: purescript-either | Statement: [PureScript, hasCoreLibrary, purescript-either]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: purescript-either
Context triple: [PureScript, hasCoreLibrary, purescript-either]
  • A. PSE
    PSE is the IATA airport code for Mercedita Airport, a public airport serving the Ponce region in southern Puerto Rico.
  • B. PSE
    PSE is the national stock exchange of the Philippines, providing a marketplace for the trading of securities such as stocks and bonds.
  • C. PSE
    PSE is the station code for Porto São Bento, a historic and centrally located railway station in Porto, Portugal.
  • D. PSE
    PSE is a major European political party alliance that brings together socialist, social democratic, and labor parties from across the European Union.
  • E. Eers
    Eers is a shortened nickname commonly used for the West Virginia Mountaineers athletic teams and their fans.
  • 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: purescript-either
Triple: [PureScript, hasCoreLibrary, purescript-either]
Generated description
purescript-either is a core PureScript library that provides the Either type and related utilities for representing computations that may fail or return alternative results.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: purescript-either
Target entity description: purescript-either is a core PureScript library that provides the Either type and related utilities for representing computations that may fail or return alternative results.
  • A. PSE
    PSE is the IATA airport code for Mercedita Airport, a public airport serving the Ponce region in southern Puerto Rico.
  • B. PSE
    PSE is a major European political party alliance that brings together socialist, social democratic, and labor parties from across the European Union.
  • C. PSE
    PSE is the national stock exchange of the Philippines, providing a marketplace for the trading of securities such as stocks and bonds.
  • D. PSE
    PSE is the station code for Porto São Bento, a historic and centrally located railway station in Porto, Portugal.
  • E. Eers
    Eers is a shortened nickname commonly used for the West Virginia Mountaineers athletic teams and their fans.
  • 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_69d8b913351c8190932b6a426de04b41 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4fd85ee548190a102611fcf709ad4 completed April 19, 2026, 4:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03ac79bc7881909794d5f563ab0552 completed May 12, 2026, 10:40 p.m.
NEDg Description generation batch_6a03ad3be75c819080f57a24747ec55f completed May 12, 2026, 10:44 p.m.
NED2 Entity disambiguation (via description) batch_6a03aedfa7908190b7c17292e98a3bdb completed May 12, 2026, 10:51 p.m.
Created at: April 10, 2026, 10:34 a.m.