Triple
T34641337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Essex Regiment |
E889564
|
entity |
| Predicate | televisionPortrayalCountry |
P179753
|
FINISHED |
| Object | United Kingdom |
—
|
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: United Kingdom | Statement: [South Essex Regiment, televisionPortrayalCountry, United Kingdom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: televisionPortrayalCountry Context triple: [South Essex Regiment, televisionPortrayalCountry, United Kingdom]
-
A.
televisionWorkCountry
Indicates the country in which a television-related work (such as a TV show or production) is produced or primarily associated.
-
B.
televisionSeriesCountryOfOrigin
Indicates the country where a television series was originally produced or first created.
-
C.
televisionDebutCountry
Indicates the country in which a person or work first appeared or was broadcast on television.
-
D.
televisionShowDepicted
Indicates that one entity is a television show in which the other entity is portrayed, represented, or appears.
-
E.
televisionAdaptationCountry
Indicates the country in which a television adaptation of a work was produced or primarily created.
- 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_69f349d724848190b63ad3407e0006d9 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f727bde8f88190ad746ca515134ca1 |
completed | May 3, 2026, 10:47 a.m. |
| PD | Predicate disambiguation | batch_69f72739c30c81908642eef3feb3afcf |
completed | May 3, 2026, 10:45 a.m. |
| PDg | Predicate description generation | batch_69f727bd39b081908457590c3ba9b745 |
completed | May 3, 2026, 10:47 a.m. |
Created at: May 1, 2026, 2:04 a.m.