Triple
T4572855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doncaster |
E123073
|
entity |
| Predicate | populationRankInSouthYorkshire |
P24333
|
FINISHED |
| Object | one of the largest settlements |
—
|
LITERAL FINISHED |
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: one of the largest settlements | Statement: [Doncaster, populationRankInSouthYorkshire, one of the largest settlements]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationRankInSouthYorkshire Context triple: [Doncaster, populationRankInSouthYorkshire, one of the largest settlements]
-
A.
hasPopulationRankInUK
Indicates the relative position of an entity’s population size compared to other entities within the United Kingdom.
-
B.
populationRankInCounty
chosen
Indicates the relative position of an entity in terms of population size compared to other entities within the same county.
-
C.
shireDistrict
Indicates that one administrative area is a shire district governing or encompassing another area.
-
D.
populationRankInMissouri
Indicates the relative position of an entity in terms of population size compared to other entities within the state of Missouri.
-
E.
populationRankInQueensland
Indicates the relative position of an entity in terms of population size compared to other entities within Queensland.
- 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_69bd46466c7081909d07f36be2d08804 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd58c711408190a2b096daf57e6eac |
completed | March 20, 2026, 2:25 p.m. |
| PD | Predicate disambiguation | batch_69bd5227063c8190973155a875b013a7 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:10 p.m.