Triple

T4619943
Position Surface form Disambiguated ID Type / Status
Subject P. League+ E100951 entity
Predicate hasHashtag P2920 FINISHED
Object #PLEAGUE
#PLEAGUE is the official social media hashtag used to discuss and follow content related to Taiwan’s professional basketball league, P. League+.
E459175 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: #PLEAGUE | Statement: [P. League+, hasHashtag, #PLEAGUE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: #PLEAGUE
Context triple: [P. League+, hasHashtag, #PLEAGUE]
  • A. PLG
    PLG is a regional coalition of Polynesian countries and territories that collaborates on shared political, economic, social, and environmental issues in the Pacific.
  • B. PLAF
    PLAF is an abbreviation commonly used to refer to the Polish Air Force, the air warfare branch of Poland’s armed forces.
  • C. PSL
    PSL is the commonly used abbreviation for the Physical Sciences Laboratory, a research facility focused on advancing knowledge and technology in the physical sciences.
  • D. The League
    The League is the common shorthand for The Broadway League, the national trade association representing the Broadway theater industry.
  • E. Plaka
    Plaka is a historic neighborhood in central Athens known for its picturesque streets, neoclassical architecture, and proximity to the Acropolis.
  • 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: #PLEAGUE
Triple: [P. League+, hasHashtag, #PLEAGUE]
Generated description
#PLEAGUE is the official social media hashtag used to discuss and follow content related to Taiwan’s professional basketball league, P. League+.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: #PLEAGUE
Target entity description: #PLEAGUE is the official social media hashtag used to discuss and follow content related to Taiwan’s professional basketball league, P. League+.
  • A. PLG
    PLG is a regional coalition of Polynesian countries and territories that collaborates on shared political, economic, social, and environmental issues in the Pacific.
  • B. PLAF
    PLAF is an abbreviation commonly used to refer to the Polish Air Force, the air warfare branch of Poland’s armed forces.
  • C. PSL
    PSL is the commonly used abbreviation for the Physical Sciences Laboratory, a research facility focused on advancing knowledge and technology in the physical sciences.
  • D. The League
    The League is the common shorthand for The Broadway League, the national trade association representing the Broadway theater industry.
  • E. Plaka
    Plaka is a historic neighborhood in central Athens known for its picturesque streets, neoclassical architecture, and proximity to the Acropolis.
  • 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_69bd43cf363c819087fd5ab441b4a3f4 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd59e3e6948190925e2cfad20dcc8c completed March 20, 2026, 2:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfa95bd6c8190ad33e52b338560a6 completed March 21, 2026, 1:55 a.m.
NEDg Description generation batch_69bdfb5502c48190b7679941b83e6e0c completed March 21, 2026, 1:58 a.m.
NED2 Entity disambiguation (via description) batch_69bdff53680c8190a62aace0f0c9f3b3 completed March 21, 2026, 2:15 a.m.
Created at: March 20, 2026, 1:12 p.m.