Triple
T12585814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Air Ministry Specification B.12/36 |
E300457
|
entity |
| Predicate | yearDesignated |
P105575
|
FINISHED |
| Object | 1936 |
—
|
LITERAL 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: 1936 | Statement: [Air Ministry Specification B.12/36, yearDesignated, 1936]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearDesignated Context triple: [Air Ministry Specification B.12/36, yearDesignated, 1936]
-
A.
federalDesignationYear
Indicates the year in which an entity was officially granted a federal designation or status.
-
B.
newTownDesignationYear
Indicates the year in which a place was officially designated or recognized as a new town.
-
C.
stateDesignation
Indicates that an entity has been formally assigned or recognized with a particular status, title, or classification by an official authority or governing body.
-
D.
nationalHistoricLandmarkDesignationYear
Indicates the year in which an entity was officially designated as a National Historic Landmark.
-
E.
nationalMonumentDesignationYear
Indicates the year in which an entity was officially designated as a national monument.
- 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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954e6e20481908bca684c4b497c48 |
completed | April 10, 2026, 7:52 p.m. |
| PD | Predicate disambiguation | batch_69d95416cbd88190b2c65196162349bc |
completed | April 10, 2026, 7:48 p.m. |
| PDg | Predicate description generation | batch_69d954e351f88190869220d46e0ce282 |
completed | April 10, 2026, 7:52 p.m. |
Created at: April 9, 2026, 5:04 p.m.