Triple
T30617219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bradgatia linfordensis |
E779345
|
entity |
| Predicate | countryOfTypeLocality |
P200517
|
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: [Bradgatia linfordensis, countryOfTypeLocality, United Kingdom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfTypeLocality Context triple: [Bradgatia linfordensis, countryOfTypeLocality, United Kingdom]
-
A.
countryNameLocal
Indicates the name of a country as expressed in its own local or official language.
-
B.
countryLocated
Indicates that a country is geographically situated within or associated with a specific larger region, territory, or political entity.
-
C.
typeLocality
Indicates the specific geographic location where a specimen or taxon was originally found and formally described.
-
D.
cityLocatedIn
Indicates that a city is geographically situated within a specified larger administrative or territorial region.
-
E.
countryPortionIn
Indicates that a specific part or region is located within the boundaries of a particular country.
- 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_69f224a3307081909a6dca8ca75dbf48 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69ff9361943c81909544203cbc998a69 |
completed | May 9, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69ff913138a08190b59bdc9d8d199eb3 |
completed | May 9, 2026, 7:55 p.m. |
| PDg | Predicate description generation | batch_69ff935f48808190aa6f4834f59d45b8 |
completed | May 9, 2026, 8:04 p.m. |
Created at: April 29, 2026, 8:26 p.m.