Triple
T16170640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | No. 41 Test and Evaluation Squadron |
E392424
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | 41 TES |
E392423
|
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: 41 TES | Statement: [No. 41 Test and Evaluation Squadron, abbreviation, 41 TES]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 41 TES Context triple: [No. 41 Test and Evaluation Squadron, abbreviation, 41 TES]
-
A.
41 TES
chosen
41 TES is a Royal Air Force test and evaluation squadron responsible for assessing and developing aircraft, weapons, and tactics.
-
B.
Tes
Tes is the tough, resourceful female protagonist at the center of the crime thriller film "Catch .44."
-
C.
TSE
TSE is the primary stock exchange in Japan and one of the largest securities markets in the world, located in Tokyo.
-
D.
412 TW
412 TW is a U.S. Air Force test wing based at Edwards Air Force Base, renowned for conducting cutting-edge flight testing and aerospace research.
-
E.
TEAS
TEAS is the United States Patent and Trademark Office’s online system for preparing and filing federal trademark applications and related documents.
- 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_69d87f1d32208190942e4e499a80c18c |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21eb6de30819083af54b50ae5ae51 |
completed | April 17, 2026, 11:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff7bd87f08190a9f2a1524e5db2ba |
completed | May 10, 2026, 3:13 a.m. |
Created at: April 10, 2026, 5:02 a.m.