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.