Triple
T34484327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magnox |
E885275
|
entity |
| Predicate | firstCommercialStationCountry |
P205441
|
FINISHED |
| Object | United Kingdom |
E732
|
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: United Kingdom | Statement: [Magnox, firstCommercialStationCountry, United Kingdom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstCommercialStationCountry Context triple: [Magnox, firstCommercialStationCountry, United Kingdom]
-
A.
firstCommercialNetworkCountry
Indicates the country where a given entity first launched or operated its commercial network.
-
B.
countryOfBroadcast
Indicates the country from which a broadcast is transmitted or officially originates.
-
C.
countryOfFirstProclamation
Indicates the country in which something (typically a declaration, law, or official statement) was first formally proclaimed.
-
D.
firstBroadwayProductionCountry
Indicates the country in which an entity’s first Broadway production was staged.
-
E.
countryOfFirstRelease
Indicates the country in which a work (such as a film, game, or product) was first officially released.
- F. None of above. chosen
Provenance (5 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_69f349c947fc81909d30b53c194d6ea1 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3748d72da08190acac2fe45ed89310 |
completed | June 21, 2026, 2:13 a.m. |
| PD | Predicate disambiguation | batch_6a0379fbe4a08190bfe65ebd141164e9 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c80ba448190853011097a151b7e |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 2:01 a.m.