Triple
T25485887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smith (surname) |
E638704
|
entity |
| Predicate | isMostCommonSurnameIn |
P29278
|
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: [Smith (surname), isMostCommonSurnameIn, United Kingdom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMostCommonSurnameIn Context triple: [Smith (surname), isMostCommonSurnameIn, United Kingdom]
-
A.
isAmongMostCommonSurnamesIn
chosen
Indicates that a surname ranks within the group of most frequently occurring surnames in a specified region or population.
-
B.
usedAsSurnameInCountry
Indicates that a particular name functions as a family surname within the specified country.
-
C.
isCommonAsFirstName
Indicates that the referenced name is frequently used as a first (given) name within a specified population or context.
-
D.
isSurname
Indicates that one entity is the family name (last name) of another entity.
-
E.
sharesSurnameWithMany
Indicates that an entity has the same surname as a large number of other entities.
- 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_69e75dbabeac8190bab30628f8b799d4 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f77c4cfc819097efb731d25b3452 |
completed | May 2, 2026, 1:09 p.m. |
| PD | Predicate disambiguation | batch_69f49377411c8190b2188de444d76795 |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 21, 2026, 2:32 p.m.