Triple
T35686002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Stoppard Prize |
E1031148
|
entity |
| Predicate | namedAfterCountryOfNamesake |
P192947
|
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: [Tom Stoppard Prize, namedAfterCountryOfNamesake, United Kingdom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: namedAfterCountryOfNamesake Context triple: [Tom Stoppard Prize, namedAfterCountryOfNamesake, United Kingdom]
-
A.
hasPlaceNamedAfter
Indicates that one place is named in honor of or derived from the name of another place.
-
B.
fieldOfNamedAfter
Indicates that a field of study or professional discipline is named in honor of a particular person or entity.
-
C.
notableAsNamesakeOf
Indicates that one entity is recognized or distinguished specifically for being the namesake of another entity.
-
D.
hasCapitalNamedAfter
Indicates that one entity serves as the capital of another entity and that this capital is named after the other entity.
-
E.
hasPlaceNamesakeAbroad
Indicates that a place has a namesake located in a foreign 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_69f76e0bb6608190ad3a1880be54a17d |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd32848ea88190a71e6df402bbb30e |
completed | May 8, 2026, 12:47 a.m. |
| PD | Predicate disambiguation | batch_69fd2d7e95588190991d5f21e25155df |
completed | May 8, 2026, 12:25 a.m. |
| PDg | Predicate description generation | batch_69fd328298ac8190b6bd5ded7dca270d |
completed | May 8, 2026, 12:46 a.m. |
Created at: May 3, 2026, 4:05 p.m.