Triple

T18953093
Position Surface form Disambiguated ID Type / Status
Subject Shanghai Theatre Academy E463704 entity
Predicate shortName P43 FINISHED
Object STA
STA is the commonly used abbreviation for the Shanghai Theatre Academy, a leading Chinese institution specializing in theatre, film, and performing arts education.
 E1351040 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: STA | Statement: [Shanghai Theatre Academy, shortName, STA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: STA
Context triple: [Shanghai Theatre Academy, shortName, STA]
  • A. STA
    STA is the National Rail station code for Stafford railway station, a key junction on the West Coast Main Line in Staffordshire, England.
  • B. STA
    STA is the vehicle registration code for the district of Starnberg in Bavaria, Germany.
  • C. STM
    STM is the Finnish Ministry of Social Affairs and Health, the government body responsible for national social welfare and health policy in Finland.
  • D. STM
    STM is the stock ticker symbol for STMicroelectronics, a major global semiconductor manufacturer.
  • E. STM
    STM is the station code for Smithtown station, a Long Island Rail Road commuter rail stop in Smithtown, New York.
  • 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: STA
Triple: [Shanghai Theatre Academy, shortName, STA]
Generated description
STA is the commonly used abbreviation for the Shanghai Theatre Academy, a leading Chinese institution specializing in theatre, film, and performing arts education.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: STA
Target entity description: STA is the commonly used abbreviation for the Shanghai Theatre Academy, a leading Chinese institution specializing in theatre, film, and performing arts education.
  • A. STA
    STA is the vehicle registration code for the district of Starnberg in Bavaria, Germany.
  • B. STA
    STA is the National Rail station code for Stafford railway station, a key junction on the West Coast Main Line in Staffordshire, England.
  • C. STM
    STM is the stock ticker symbol for STMicroelectronics, a major global semiconductor manufacturer.
  • D. STM
    STM is the Finnish Ministry of Social Affairs and Health, the government body responsible for national social welfare and health policy in Finland.
  • E. STM
    STM is the station code for Smithtown station, a Long Island Rail Road commuter rail stop in Smithtown, New York.
  • 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_69d8dcffc278819086792a4ebfddfafa completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d544fef8819091147189ddd89617 completed April 20, 2026, 7:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a059fd2cd4081909f9fa013bb8f2aec completed May 14, 2026, 10:11 a.m.
NEDg Description generation batch_6a05a161c8e88190a6f9c9abe3314487 completed May 14, 2026, 10:18 a.m.
NED2 Entity disambiguation (via description) batch_6a05a1cb500481908608daee7537dd0c completed May 14, 2026, 10:19 a.m.
Created at: April 10, 2026, noon