Triple

T18255941
Position Surface form Disambiguated ID Type / Status
Subject PureScript E437222 entity
Predicate hasCoreLibrary P123292 FINISHED
Object purescript-tuples
purescript-tuples is a core PureScript library that provides tuple data types and related utilities for working with pairs and small fixed-size collections.
 E1313840 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-tuples | Statement: [PureScript, hasCoreLibrary, purescript-tuples]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: purescript-tuples
Context triple: [PureScript, hasCoreLibrary, purescript-tuples]
  • A. TUP
    TUP is the IATA airport code for Tupelo Regional Airport in Tupelo, Mississippi, United States.
  • B. TUP
    TUP (Transaction Capabilities Application Part User Part) is a legacy telephone signaling protocol used in Signaling System No. 7 networks to set up and manage voice calls.
  • C. Tup
    Tup is a town in Kyrgyzstan that serves as one of the main urban centers of the Issyk-Kul Region.
  • D. P and T
    P and T is the common abbreviation historically used for the government-run postal and telegraph services department in several countries, notably in India.
  • E. Tus
    Tus is an ancient city in northeastern Iran, renowned as a cultural and literary center and traditionally regarded as the birthplace and home of the Persian epic poet Ferdowsi.
  • 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-tuples
Triple: [PureScript, hasCoreLibrary, purescript-tuples]
Generated description
purescript-tuples is a core PureScript library that provides tuple data types and related utilities for working with pairs and small fixed-size collections.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: purescript-tuples
Target entity description: purescript-tuples is a core PureScript library that provides tuple data types and related utilities for working with pairs and small fixed-size collections.
  • A. TUP
    TUP is the IATA airport code for Tupelo Regional Airport in Tupelo, Mississippi, United States.
  • B. TUP
    TUP (Transaction Capabilities Application Part User Part) is a legacy telephone signaling protocol used in Signaling System No. 7 networks to set up and manage voice calls.
  • C. Tup
    Tup is a town in Kyrgyzstan that serves as one of the main urban centers of the Issyk-Kul Region.
  • D. P and T
    P and T is the common abbreviation historically used for the government-run postal and telegraph services department in several countries, notably in India.
  • E. Tus
    Tus is an ancient city in northeastern Iran, renowned as a cultural and literary center and traditionally regarded as the birthplace and home of the Persian epic poet Ferdowsi.
  • 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.