Triple

T2568336
Position Surface form Disambiguated ID Type / Status
Subject Wuhan National Laboratory for Optoelectronics E57604 entity
Predicate shortName P43 FINISHED
Object WNLO
WNLO is a major Chinese research institute specializing in optoelectronics and photonics, based in Wuhan.
 E279431 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: WNLO | Statement: [Wuhan National Laboratory for Optoelectronics, shortName, WNLO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WNLO
Context triple: [Wuhan National Laboratory for Optoelectronics, shortName, WNLO]
  • A. WN6
    WN6 is a postcode district in the Wigan area of Greater Manchester, England.
  • B. WN
    WN is the IATA airline designator used to identify Southwest Airlines in flight schedules, ticketing, and aviation operations.
  • C. WTN
    WTN is the IATA airport code for RAF Waddington, a Royal Air Force station in Lincolnshire, England.
  • D. NWL
    NWL is the stock ticker symbol for Newell Brands Inc., a consumer goods company known for products under brands like Rubbermaid, Sharpie, and Coleman.
  • E. WATH
    WATH is a local radio station serving the Athens, Ohio area with news, talk, and music programming.
  • 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: WNLO
Triple: [Wuhan National Laboratory for Optoelectronics, shortName, WNLO]
Generated description
WNLO is a major Chinese research institute specializing in optoelectronics and photonics, based in Wuhan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WNLO
Target entity description: WNLO is a major Chinese research institute specializing in optoelectronics and photonics, based in Wuhan.
  • A. WN6
    WN6 is a postcode district in the Wigan area of Greater Manchester, England.
  • B. WN
    WN is the IATA airline designator used to identify Southwest Airlines in flight schedules, ticketing, and aviation operations.
  • C. WTN
    WTN is the IATA airport code for RAF Waddington, a Royal Air Force station in Lincolnshire, England.
  • D. NWL
    NWL is the stock ticker symbol for Newell Brands Inc., a consumer goods company known for products under brands like Rubbermaid, Sharpie, and Coleman.
  • E. WATH
    WATH is a local radio station serving the Athens, Ohio area with news, talk, and music programming.
  • 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_69ab4a51410081908501dcf8bad9adc4 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd36191848190b6255fa9029429bd completed March 7, 2026, 7:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69af6569e38881908d1492277fe0c60c completed March 10, 2026, 12:27 a.m.
NEDg Description generation batch_69af67330d4c8190945b6ce8d20546ab completed March 10, 2026, 12:34 a.m.
NED2 Entity disambiguation (via description) batch_69af68c5ad9c8190bc5ef698963685b2 completed March 10, 2026, 12:41 a.m.
Created at: March 6, 2026, 9:48 p.m.