Triple
T5471993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 99th Air Base Wing |
E122854
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
99 ABW
99 ABW is a major U.S. Air Force wing responsible for operating and supporting Nellis Air Force Base, including its mission, infrastructure, and personnel.
|
E523429
|
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: 99 ABW | Statement: [99th Air Base Wing, nickname, 99 ABW]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 99 ABW Context triple: [99th Air Base Wing, nickname, 99 ABW]
-
A.
ABW
ABW is the three-letter ISO 3166-1 alpha-3 country code assigned to Aruba.
-
B.
ABJ
ABJ is the vehicle registration code used for motor vehicles registered in Abuja, the capital city of Nigeria.
-
C.
ABY
ABY is the IATA airport code for Southwest Georgia Regional Airport serving Albany, Georgia.
-
D.
Awaba
Awaba is an Aboriginal name historically used for Lake Macquarie, a large coastal lake in New South Wales, Australia.
-
E.
ABT
ABT is the stock ticker symbol for Abbott Laboratories, a global healthcare company specializing in medical devices, diagnostics, nutrition products, and branded generic pharmaceuticals.
- 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: 99 ABW Triple: [99th Air Base Wing, nickname, 99 ABW]
Generated description
99 ABW is a major U.S. Air Force wing responsible for operating and supporting Nellis Air Force Base, including its mission, infrastructure, and personnel.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 99 ABW Target entity description: 99 ABW is a major U.S. Air Force wing responsible for operating and supporting Nellis Air Force Base, including its mission, infrastructure, and personnel.
-
A.
ABW
ABW is the three-letter ISO 3166-1 alpha-3 country code assigned to Aruba.
-
B.
ABJ
ABJ is the vehicle registration code used for motor vehicles registered in Abuja, the capital city of Nigeria.
-
C.
ABY
ABY is the IATA airport code for Southwest Georgia Regional Airport serving Albany, Georgia.
-
D.
Awaba
Awaba is an Aboriginal name historically used for Lake Macquarie, a large coastal lake in New South Wales, Australia.
-
E.
ABT
ABT is the stock ticker symbol for Abbott Laboratories, a global healthcare company specializing in medical devices, diagnostics, nutrition products, and branded generic pharmaceuticals.
- 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_69bd46459ff48190823377457bcf7128 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd922f66bc8190b7d47fd68d2fcf2e |
completed | March 20, 2026, 6:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf4895b77c819089629d2296a230bc |
completed | March 22, 2026, 1:40 a.m. |
| NEDg | Description generation | batch_69bf4c43b8bc81908b28e1b8287400c7 |
completed | March 22, 2026, 1:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf4cadc9508190a901a6fe6702f1b7 |
completed | March 22, 2026, 1:58 a.m. |
Created at: March 20, 2026, 2:09 p.m.