Triple
T3122546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leeds City Region |
E65217
|
entity |
| Predicate | economicRankInUK |
P45181
|
FINISHED |
| Object | one of the largest city regions by GVA outside London |
—
|
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 city regions by GVA outside London | Statement: [Leeds City Region, economicRankInUK, one of the largest city regions by GVA outside London]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: economicRankInUK Context triple: [Leeds City Region, economicRankInUK, one of the largest city regions by GVA outside London]
-
A.
hasPopulationRankInUK
Indicates the relative position of an entity’s population size compared to other entities within the United Kingdom.
-
B.
rankingInCountry
chosen
Indicates the position or level an entity holds within an ordered list specific to a particular country.
-
C.
wealthRanking
Indicates the relative ordering of entities based on their level of wealth or financial resources.
-
D.
portRank
Indicates the relative importance or hierarchical ranking assigned to a port within a given system or context.
-
E.
tierOfImportanceInEngland
Indicates the relative level or rank of importance that something holds specifically within the context of England.
- 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_69ad8580c72481909672d37acf647893 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada52ab05c819088204bbb608c837c |
completed | March 8, 2026, 4:34 p.m. |
| PD | Predicate disambiguation | batch_69ad9df62e548190b053e1478deed467 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:04 p.m.