Triple
T19456610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akademisk Boldklub |
E486747
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object |
AB
AB is a Danish football club formally known as Akademisk Boldklub, based in Copenhagen and historically one of Denmark’s notable teams.
|
E1376590
|
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: AB | Statement: [Akademisk Boldklub, hasNickname, AB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AB Context triple: [Akademisk Boldklub, hasNickname, AB]
-
A.
AB
AB is the official two-letter Canada Post abbreviation used to designate the province of Alberta in mailing addresses.
-
B.
AB
AB is the official vehicle registration code used on license plates for vehicles registered in Abia State, Nigeria.
-
C.
AB
AB is the former IATA airline designator for Air Berlin, which was once Germany’s second-largest airline before ceasing operations in 2017.
-
D.
AB
AB is the popular nickname of South African cricket legend AB de Villiers, renowned for his explosive batting and 360-degree stroke play.
-
E.
AB
AB is the vehicle registration code used on license plates for motor vehicles registered in the Yogyakarta region of Indonesia.
- 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: AB Triple: [Akademisk Boldklub, hasNickname, AB]
Generated description
AB is a Danish football club formally known as Akademisk Boldklub, based in Copenhagen and historically one of Denmark’s notable teams.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: AB Target entity description: AB is a Danish football club formally known as Akademisk Boldklub, based in Copenhagen and historically one of Denmark’s notable teams.
-
A.
AB
chosen
AB is a Danish football club officially known as Akademisk Boldklub, based in Copenhagen and historically associated with students and academic circles.
-
B.
AB
AB is the popular nickname of South African cricket legend AB de Villiers, renowned for his explosive batting and 360-degree stroke play.
-
C.
AB
AB is the commonly used abbreviation for Hungary’s Constitutional Court, the country’s highest body for constitutional review.
-
D.
AB
AB is the former IATA airline designator for Air Berlin, which was once Germany’s second-largest airline before ceasing operations in 2017.
-
E.
AB
AB is the vehicle registration code used on license plates for motor vehicles registered in the Yogyakarta region of Indonesia.
- F. None of above.
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_69d8e8d86d608190bd199a98d0297f27 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633c4088881908f23f25a82a513f6 |
completed | April 20, 2026, 2:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a074049b9e88190a9ab6742d6ff3df7 |
completed | May 15, 2026, 3:48 p.m. |
| NEDg | Description generation | batch_6a0741651ba48190b8eb6336afbbc4af |
completed | May 15, 2026, 3:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0741e454a48190ac03aa458ca2b3b3 |
completed | May 15, 2026, 3:55 p.m. |
Created at: April 10, 2026, 1:38 p.m.