Triple

T8896255
Position Surface form Disambiguated ID Type / Status
Subject Codex Washingtonianus E211811 entity
Predicate alsoKnownAs P39 FINISHED
Object W 032
W 032 is a notable early Greek manuscript of the four Gospels, known to scholars as Codex Washingtonianus and housed in the Smithsonian Institution.
 E765183 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: W 032 | Statement: [Codex Washingtonianus, alsoKnownAs, W 032]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: W 032
Context triple: [Codex Washingtonianus, alsoKnownAs, W 032]
  • A. W3
    W3 is a massive, active star-forming molecular cloud complex in the Perseus Arm of the Milky Way, known for hosting numerous young stellar objects and compact H II regions.
  • B. W3
    W3 is a common shorthand for the World Wide Web, the global system of interlinked hypertext documents and resources accessed via the internet.
  • C. W4
    W4 is a prominent star-forming region in the Milky Way, notable for its large ionized gas bubble and active formation of massive young stars.
  • D. The W
    The W is the commonly used nickname for Mississippi University for Women, a public university in Columbus, Mississippi.
  • E. W6
    W6 is the IATA airline designator used to identify the low-cost carrier Wizz Air on tickets, timetables, and flight information systems.
  • 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: W 032
Triple: [Codex Washingtonianus, alsoKnownAs, W 032]
Generated description
W 032 is a notable early Greek manuscript of the four Gospels, known to scholars as Codex Washingtonianus and housed in the Smithsonian Institution.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: W 032
Target entity description: W 032 is a notable early Greek manuscript of the four Gospels, known to scholars as Codex Washingtonianus and housed in the Smithsonian Institution.
  • A. W3
    W3 is a massive, active star-forming molecular cloud complex in the Perseus Arm of the Milky Way, known for hosting numerous young stellar objects and compact H II regions.
  • B. W3
    W3 is a common shorthand for the World Wide Web, the global system of interlinked hypertext documents and resources accessed via the internet.
  • C. W4
    W4 is a prominent star-forming region in the Milky Way, notable for its large ionized gas bubble and active formation of massive young stars.
  • D. The W
    The W is the commonly used nickname for Mississippi University for Women, a public university in Columbus, Mississippi.
  • E. W6
    W6 is the IATA airline designator used to identify the low-cost carrier Wizz Air on tickets, timetables, and flight information systems.
  • 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_69ca83918d3081909b326fa3750cb8c8 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc61bfec0881908e4ef5b7f0e6b542 completed April 1, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfac02974881908a7e8d9cfa47e624 completed April 3, 2026, 12:01 p.m.
NEDg Description generation batch_69cfad512ad081908e046e9d95097071 completed April 3, 2026, 12:06 p.m.
NED2 Entity disambiguation (via description) batch_69cfadf4c1fc81908df957dc0a6308dc completed April 3, 2026, 12:09 p.m.
Created at: March 30, 2026, 6:54 p.m.