Triple
T8810974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eleventh Air Force |
E209657
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | 11 AF |
E209657
|
NE FINISHED |
How this triple was built (2 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: 11 AF | Statement: [Eleventh Air Force, abbreviation, 11 AF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 11 AF Context triple: [Eleventh Air Force, abbreviation, 11 AF]
-
A.
11 AF
chosen
11 AF is the abbreviation for the Eleventh Air Force, a numbered air force of the United States Air Force responsible primarily for air operations in the Alaska region.
-
B.
1 AF
1 AF is the abbreviated designation for First Air Force, a numbered air force of the United States Air Force responsible for air defense and homeland security missions.
-
C.
AAF
AAF is the common abbreviation for the Alliance of American Football, a short-lived professional American football league that operated in 2019.
-
D.
AF
AF is the two-letter ISO 3166-1 alpha-2 country code assigned to Afghanistan for international standardization and referencing.
-
E.
AF
AF is the two-letter IATA airline designator assigned to Air France, the flag carrier of France.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca8363f3308190a47e3f1ebd51f613 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5fed18f8819087b0282bf8c4208c |
completed | March 31, 2026, 11:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf6faa5dbc819083ecfbbb261cbc44 |
completed | April 3, 2026, 7:43 a.m. |
Created at: March 30, 2026, 6:45 p.m.