Triple
T3369306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newport, Wales |
E70914
|
entity |
| Predicate | rankInWalesByPopulation |
P1026
|
FINISHED |
| Object | one of the largest cities in Wales |
—
|
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 cities in Wales | Statement: [Newport, Wales, rankInWalesByPopulation, one of the largest cities in Wales]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankInWalesByPopulation Context triple: [Newport, Wales, rankInWalesByPopulation, one of the largest cities in Wales]
-
A.
hasPopulationRankInUK
Indicates the relative position of an entity’s population size compared to other entities within the United Kingdom.
-
B.
hasHighProportionOfWelshSpeakers
Indicates that a place or population has a relatively large share of individuals who speak the Welsh language.
-
C.
rankInScotlandByArea
Indicates the numerical position of an entity in an ordered list of areas specifically within Scotland, based on its size.
-
D.
welshAssemblyConstituency
Indicates that an entity is a constituency represented in the Welsh Parliament (formerly the National Assembly for Wales).
-
E.
hasPopulationRank
chosen
Indicates the relative position of an entity in an ordered list based on the size of its population.
- 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_69ad85a729d48190afd789cd8417f289 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb2b9b1fc8190a2cbf040ea808baf |
completed | March 8, 2026, 5:32 p.m. |
| PD | Predicate disambiguation | batch_69ada4317e288190ab7d0f66e9dba65f |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:13 p.m.