Triple
T25749656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | statue of William IV |
E648439
|
entity |
| Predicate | locationIntendedCountry |
P186942
|
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: [statue of William IV, locationIntendedCountry, United Kingdom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locationIntendedCountry Context triple: [statue of William IV, locationIntendedCountry, United Kingdom]
-
A.
landingCountry
Indicates the country in which a landing event (such as an aircraft or spacecraft landing) takes place.
-
B.
reservationCountry
Indicates the country in which a reservation is made, held, or associated.
-
C.
locationCountryAtTheTime
Indicates that an entity was located in a specified country during a particular time or time period.
-
D.
locationCountryOfFinal
Indicates that something is located in, or has its final location within, a specific country.
-
E.
originalLocationCountry
Indicates the country where an entity was originally located or from which it initially originated.
- 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_69e7ab314d788190b3abe19e114080e1 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69fb2e940d5c8190bceae77daf4ef512 |
completed | May 6, 2026, 12:05 p.m. |
| PD | Predicate disambiguation | batch_69f9fec70bd881909c658a3c5020318b |
completed | May 5, 2026, 2:29 p.m. |
| PDg | Predicate description generation | batch_69fb2e9309fc81909dfefd9020d6fbad |
completed | May 6, 2026, 12:05 p.m. |
Created at: April 22, 2026, 4:33 a.m.