Triple

T11755934
Position Surface form Disambiguated ID Type / Status
Subject Academia Sinica E279523 entity
Predicate abbreviation P43 FINISHED
Object AS
AS is the commonly used abbreviation for Academia Sinica, Taiwan’s national academy and leading research institution.
 E943571 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: AS | Statement: [Academia Sinica, abbreviation, AS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AS
Context triple: [Academia Sinica, abbreviation, AS]
  • A. AS
    AS is the two-letter IATA airline designator assigned to Alaska Airlines, used in flight numbers and ticketing.
  • B. AS
    AS is the two-letter ISO 3166-1 alpha-2 country code assigned to American Samoa.
  • C. AS
    AS is the official vehicle registration code assigned to the Indian state of Assam.
  • D. As
    As is a municipality in the Belgian province of Limburg, known for its rural character and proximity to the Hoge Kempen National Park.
  • E. ASSE
    ASSE is the commonly used abbreviation for AS Saint-Étienne, a historic French professional football club known for its success in Ligue 1.
  • 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: AS
Triple: [Academia Sinica, abbreviation, AS]
Generated description
AS is the commonly used abbreviation for Academia Sinica, Taiwan’s national academy and leading research institution.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AS
Target entity description: AS is the commonly used abbreviation for Academia Sinica, Taiwan’s national academy and leading research institution.
  • A. AS
    AS is the two-letter ISO 3166-1 alpha-2 country code assigned to American Samoa.
  • B. AS
    AS is the official vehicle registration code assigned to the Indian state of Assam.
  • C. AS
    AS is the two-letter IATA airline designator assigned to Alaska Airlines, used in flight numbers and ticketing.
  • D. As
    As is a municipality in the Belgian province of Limburg, known for its rural character and proximity to the Hoge Kempen National Park.
  • E. ASSE
    ASSE is the commonly used abbreviation for AS Saint-Étienne, a historic French professional football club known for its success in Ligue 1.
  • 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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a50c8d708190ad79ecb57b715d04 completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f01a2f0a848190944ba2688c6d7ad2 completed April 28, 2026, 2:23 a.m.
NEDg Description generation batch_69f0319622c48190bee6c906f08c0a8c completed April 28, 2026, 4:03 a.m.
NED2 Entity disambiguation (via description) batch_69f05af9ce808190bc6c1ec2cb9903f9 completed April 28, 2026, 7 a.m.
Created at: April 8, 2026, 9:41 p.m.