Triple
T14381072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BER |
E356601
|
entity |
| Predicate | airlineIATACode |
P12360
|
FINISHED |
| Object |
AB
AB is the former IATA airline designator for Air Berlin, which was once Germany’s second-largest airline before ceasing operations in 2017.
|
E1096129
|
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: [BER, airlineIATACode, AB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AB Context triple: [BER, airlineIATACode, 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 commonly used abbreviation for Hungary’s Constitutional Court, the country’s highest body for constitutional review.
-
D.
BA
BA is the New York Stock Exchange ticker symbol for The Boeing Company, a major American aerospace and defense manufacturer.
-
E.
BA
BA is a common abbreviation for Broken Arrow, a suburban city in northeastern Oklahoma.
- 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: [BER, airlineIATACode, AB]
Generated description
AB is the former IATA airline designator for Air Berlin, which was once Germany’s second-largest airline before ceasing operations in 2017.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: AB Target entity description: AB is the former IATA airline designator for Air Berlin, which was once Germany’s second-largest airline before ceasing operations in 2017.
-
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 commonly used abbreviation for Hungary’s Constitutional Court, the country’s highest body for constitutional review.
-
D.
BA
BA is the New York Stock Exchange ticker symbol for The Boeing Company, a major American aerospace and defense manufacturer.
-
E.
BA
BA is a common abbreviation for Broken Arrow, a suburban city in northeastern Oklahoma.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de900bbfb08190a1e56f281a2374c0 |
completed | April 14, 2026, 7:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c590660819090652e75418f2747 |
completed | May 8, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_69fd4e4bae188190a8d1c5b833d58cd8 |
completed | May 8, 2026, 2:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd4f5782b4819081d32dbef032ac61 |
completed | May 8, 2026, 2:49 a.m. |
Created at: April 10, 2026, 1:16 a.m.