Triple
T25984589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Buckenham |
E646160
|
entity |
| Predicate | airfieldUsedDuring |
P159633
|
FINISHED |
| Object | Second World War |
—
|
NE NERFINISHED |
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: Second World War | Statement: [Old Buckenham, airfieldUsedDuring, Second World War]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: airfieldUsedDuring Context triple: [Old Buckenham, airfieldUsedDuring, Second World War]
-
A.
airfieldOpened
Indicates that an airfield began operations or was officially opened at a certain time.
-
B.
airfieldBuilt
Indicates that an airfield has been constructed or established, typically specifying who built it, where, and/or when.
-
C.
airfieldRole
Indicates the functional role or operational purpose that an airfield serves within a broader system or context.
-
D.
usedAsOlympicAirportFor
Indicates that an airport served as the designated Olympic airport for a particular edition of the Olympic Games.
-
E.
containsAirfield
Indicates that a location or area includes at least one airfield within its boundaries.
- F. None of above. chosen
Provenance (4 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_69e77e881fc08190ba1c8dc7e2a07f97 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f60541b3c88190a0cb32e0e63d94c9 |
completed | May 2, 2026, 2:08 p.m. |
| PD | Predicate disambiguation | batch_69f4a10480748190a2e67bd399fc435d |
completed | May 1, 2026, 12:48 p.m. |
| PDg | Predicate description generation | batch_69f55e497fa081909bc59a7b92c5df59 |
completed | May 2, 2026, 2:15 a.m. |
Created at: April 22, 2026, 8:54 a.m.