Triple
T26614710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Llanarthne |
E668026
|
entity |
| Predicate | isInUKCountry |
P80099
|
FINISHED |
| Object | Wales |
—
|
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: Wales | Statement: [Llanarthne, isInUKCountry, Wales]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInUKCountry Context triple: [Llanarthne, isInUKCountry, Wales]
-
A.
locatedInBritishCountry
chosen
Indicates that one entity is geographically or administratively situated within a country that is part of the United Kingdom.
-
B.
isLocatedInPartOfEngland
Indicates that one entity is geographically situated within a specific part or region of England.
-
C.
isSetInCountry
Indicates that something (such as an event, story, or scene) takes place within the geographical or political boundaries of a specified country.
-
D.
isInCountryISO
Indicates that one entity is located within, or belongs to, the country identified by a specific ISO country code.
-
E.
isInUnitedStates
Indicates that one entity is located within the geographic or political boundaries of the United States.
- F. None of above.
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_69ee9cfe16088190a3dddd68e3c7b1ea |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f615abc1f08190ba73d4bccd1e3aca |
completed | May 2, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69f60b8bb0d08190ab5a9a2a8847c6f4 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 27, 2026, 2:18 a.m.