Triple

T15701852
Position Surface form Disambiguated ID Type / Status
Subject V&A Exhibition Road Quarter E380611 entity
Predicate architect P184 FINISHED
Object AL_A
AL_A is a London-based architecture studio founded by Amanda Levete, known for its innovative, sculptural designs and major cultural projects worldwide.
E1172011 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: AL_A | Statement: [V&A Exhibition Road Quarter, architect, AL_A]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AL_A
Context triple: [V&A Exhibition Road Quarter, architect, AL_A]
  • A. AL 3
    AL 3 is a state highway designation in Alabama that corresponds primarily to U.S. Route 31, running north–south through the state and connecting multiple major cities and communities.
  • B. AL
    AL is the common abbreviation for the American League, one of the two major professional baseball leagues that make up Major League Baseball in the United States and Canada.
  • C. AL
    AL is the official United States Postal Service abbreviation for the state of Alabama.
  • D. AL
    AL is the vehicle registration code used on license plates for the Spanish province of Almería.
  • E. AL
    AL is the stock ticker symbol for Air Lease Corporation, a U.S.-based company that purchases commercial aircraft and leases them to airlines worldwide.
  • 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: AL_A
Triple: [V&A Exhibition Road Quarter, architect, AL_A]
Generated description
AL_A is a London-based architecture studio founded by Amanda Levete, known for its innovative, sculptural designs and major cultural projects worldwide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: AL_A
Target entity description: AL_A is a London-based architecture studio founded by Amanda Levete, known for its innovative, sculptural designs and major cultural projects worldwide.
  • A. AL 3
    AL 3 is a state highway designation in Alabama that corresponds primarily to U.S. Route 31, running north–south through the state and connecting multiple major cities and communities.
  • B. AL
    AL is the common abbreviation for the American League, one of the two major professional baseball leagues that make up Major League Baseball in the United States and Canada.
  • C. AL
    AL is the official United States Postal Service abbreviation for the state of Alabama.
  • D. AL
    AL is the vehicle registration code used on license plates for the Spanish province of Almería.
  • E. AL
    AL is the official postal abbreviation for the Brazilian state of Alagoas, located in the country's Northeast region.
  • 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_69d86d99e860819094b6957cde470f2c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f6e965881909319f85c51c6fb74 completed April 16, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff75756ecc8190bd2123ddfd080fd1 completed May 9, 2026, 5:57 p.m.
NEDg Description generation batch_69ff763d40348190bf102da746420390 completed May 9, 2026, 6 p.m.
NED2 Entity disambiguation (via description) batch_69ff76ec45948190bee47609c0d2fd10 completed May 9, 2026, 6:03 p.m.
Created at: April 10, 2026, 4:45 a.m.