Triple
T12856617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Operation Windsor |
E307471
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Carpiquet airfield |
E640649
|
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: Carpiquet airfield | Statement: [Operation Windsor, location, Carpiquet airfield]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carpiquet airfield Context triple: [Operation Windsor, location, Carpiquet airfield]
-
A.
Carpiquet
chosen
Carpiquet is a commune in the Calvados department of northwestern France, known in part for its nearby Caen–Carpiquet Airport and its role in World War II.
-
B.
Amiens–Glisy Aerodrome
Amiens–Glisy Aerodrome is a regional civil airport serving the city of Amiens in northern France.
-
C.
Morse Field
Morse Field is an athletic field at Worcester Academy used primarily for the school’s sports and physical education activities.
-
D.
Brayelles airfield
Brayelles airfield was a German World War I military airfield in France notably used by fighter units such as Manfred von Richthofen’s Jasta 11.
-
E.
Juist Airfield
Juist Airfield is a small regional airport serving the North Sea island of Juist in Germany, providing vital air connections for residents and tourists.
- 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_69d7bdf5e7cc8190be357278bc5ba3bb |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d970231ce48190a4eabc4b8c24a3ff |
completed | April 10, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a54ce34c819080ef09ec040a4dbb |
completed | May 3, 2026, 1:30 a.m. |
Created at: April 9, 2026, 5:37 p.m.