Triple

T4886044
Position Surface form Disambiguated ID Type / Status
Subject W3 star-forming region E109440 entity
Predicate catalogDesignation P974 FINISHED
Object 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.
 E476475 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: W3 | Statement: [W3 star-forming region, catalogDesignation, W3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: W3
Context triple: [W3 star-forming region, catalogDesignation, W3]
  • A. W3
    W3 is a common shorthand for the World Wide Web, the global system of interlinked hypertext documents and resources accessed via the internet.
  • B. The W
    The W is the commonly used nickname for Mississippi University for Women, a public university in Columbus, Mississippi.
  • C. W
    The W is a local New York City Subway service that runs on the BMT Broadway Line in Manhattan and Queens, typically operating on weekdays.
  • D. W
    W is one of the iconic white capital letters that make up the famous Hollywood Sign overlooking Los Angeles.
  • 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: W3
Triple: [W3 star-forming region, catalogDesignation, W3]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: W3
Target entity description: 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.
  • A. W3
    W3 is a common shorthand for the World Wide Web, the global system of interlinked hypertext documents and resources accessed via the internet.
  • B. The W
    The W is the commonly used nickname for Mississippi University for Women, a public university in Columbus, Mississippi.
  • C. W
    The W is a local New York City Subway service that runs on the BMT Broadway Line in Manhattan and Queens, typically operating on weekdays.
  • D. W
    W is one of the iconic white capital letters that make up the famous Hollywood Sign overlooking Los Angeles.
  • 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_69bd440f71348190b99938e59fb7f9a1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e01872c81909607010c10538ad1 completed March 20, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69be680fd1508190bc01caeea8f56f84 completed March 21, 2026, 9:42 a.m.
NEDg Description generation batch_69be68e3ff288190803d77350a3ce6a5 completed March 21, 2026, 9:46 a.m.
NED2 Entity disambiguation (via description) batch_69be695116788190903fbd5e375bd31d completed March 21, 2026, 9:48 a.m.
Created at: March 20, 2026, 1:28 p.m.