Triple
T6515793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northumbrian Universities Air Squadron |
E148255
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
NUAS
NUAS is the abbreviation for the Northumbrian Universities Air Squadron, a Royal Air Force training unit for university students in the North East of England.
|
E603776
|
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: NUAS | Statement: [Northumbrian Universities Air Squadron, abbreviation, NUAS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NUAS Context triple: [Northumbrian Universities Air Squadron, abbreviation, NUAS]
-
A.
NUAN
NUAN is the stock ticker symbol for Nuance Communications, a company known for its speech recognition and conversational AI technologies.
-
B.
NU
NU is the official two-letter Canada Post abbreviation for the northern Canadian territory of Nunavut.
-
C.
NU
NU is a leading Japanese national research university located in Nagoya, known for its strong programs in science, engineering, and the humanities.
-
D.
NU
NU is the two-letter ISO 3166 country code for Niue, a small island nation in the South Pacific Ocean.
-
E.
NUE
NUE is the three-letter IATA airport code for Nuremberg Airport in Nuremberg, Germany.
- 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: NUAS Triple: [Northumbrian Universities Air Squadron, abbreviation, NUAS]
Generated description
NUAS is the abbreviation for the Northumbrian Universities Air Squadron, a Royal Air Force training unit for university students in the North East of England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: NUAS Target entity description: NUAS is the abbreviation for the Northumbrian Universities Air Squadron, a Royal Air Force training unit for university students in the North East of England.
-
A.
NUAN
NUAN is the stock ticker symbol for Nuance Communications, a company known for its speech recognition and conversational AI technologies.
-
B.
NU
NU is a leading Japanese national research university located in Nagoya, known for its strong programs in science, engineering, and the humanities.
-
C.
NU
NU is the official two-letter Canada Post abbreviation for the northern Canadian territory of Nunavut.
-
D.
NU
NU is the two-letter ISO 3166 country code for Niue, a small island nation in the South Pacific Ocean.
-
E.
NUE
NUE is the three-letter IATA airport code for Nuremberg Airport in Nuremberg, Germany.
- 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_69c687e68e748190baceb9298f32d3ed |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ac0d395081908fe6b1f9a912f095 |
completed | March 27, 2026, 4:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d5156e848190a6616497708d421c |
completed | March 27, 2026, 7:05 p.m. |
| NEDg | Description generation | batch_69c6d6732d9c8190878b54902306b128 |
completed | March 27, 2026, 7:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6d82d77388190a3022a2366a5aec7 |
completed | March 27, 2026, 7:19 p.m. |
Created at: March 27, 2026, 1:44 p.m.