Triple
T18701227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BDA Prize |
E457252
|
entity |
| Predicate | hasOfficialAbbreviation |
P8075
|
FINISHED |
| Object |
BDA
BDA is the official abbreviation for the BDA Prize, an award recognizing excellence in architecture and design.
|
E1338215
|
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: BDA | Statement: [BDA Prize, hasOfficialAbbreviation, BDA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BDA Context triple: [BDA Prize, hasOfficialAbbreviation, BDA]
-
A.
BDA
BDA is the IATA airport code for L.F. Wade International Airport, the main international gateway to Bermuda.
-
B.
BDA
BDA is the common abbreviation for Blu-ray Disc, a high-definition optical disc format used for storing and playing back movies, games, and other digital media.
-
C.
BDA
BDA is the commonly used abbreviation for the Beijing Economic-Technological Development Area, a major high-tech industrial and economic zone in Beijing, China.
-
D.
BDA
BDA is a UK-based charity that advocates for the rights, language, and culture of deaf people, particularly promoting British Sign Language.
-
E.
BADA
BADA is the leading trade association representing professional antique dealers in the United Kingdom, known for promoting high standards of expertise, authenticity, and ethics in the art and antiques market.
- 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: BDA Triple: [BDA Prize, hasOfficialAbbreviation, BDA]
Generated description
BDA is the official abbreviation for the BDA Prize, an award recognizing excellence in architecture and design.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BDA Target entity description: BDA is the official abbreviation for the BDA Prize, an award recognizing excellence in architecture and design.
-
A.
BDA
BDA is the IATA airport code for L.F. Wade International Airport, the main international gateway to Bermuda.
-
B.
BDA
BDA is the common abbreviation for Blu-ray Disc, a high-definition optical disc format used for storing and playing back movies, games, and other digital media.
-
C.
BDA
BDA is a UK-based charity that advocates for the rights, language, and culture of deaf people, particularly promoting British Sign Language.
-
D.
BDA
BDA is the commonly used abbreviation for the Beijing Economic-Technological Development Area, a major high-tech industrial and economic zone in Beijing, China.
-
E.
BADA
BADA is the leading trade association representing professional antique dealers in the United Kingdom, known for promoting high standards of expertise, authenticity, and ethics in the art and antiques market.
- 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_69d8d392aad081909fe31aa03e6e97d1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5671391048190bba7606f4283ca09 |
completed | April 19, 2026, 11:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a052b36caa88190a6302741aca9eb00 |
completed | May 14, 2026, 1:53 a.m. |
| NEDg | Description generation | batch_6a052bb371b88190a632f39c891df93b |
completed | May 14, 2026, 1:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a052c7532588190bcc3e2f15fef253a |
completed | May 14, 2026, 1:59 a.m. |
Created at: April 10, 2026, 11:49 a.m.