Triple
T11492619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dublin, California |
E272452
|
entity |
| Predicate | populationRankInCaliforniaGrowth2010s |
P72547
|
FINISHED |
| Object | among fastest-growing cities |
—
|
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: among fastest-growing cities | Statement: [Dublin, California, populationRankInCaliforniaGrowth2010s, among fastest-growing cities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationRankInCaliforniaGrowth2010s Context triple: [Dublin, California, populationRankInCaliforniaGrowth2010s, among fastest-growing cities]
-
A.
rankInCaliforniaByPopulation
Indicates the ordinal position of an entity in a list of California entities ordered by their population size.
-
B.
rankInUS2010Census
Indicates the numerical position of an entity in the ranking of occurrences within the 2010 United States Census.
-
C.
rankInCalifornia
chosen
Indicates the position or standing of an entity within a ranking specific to California.
-
D.
populationRankInInlandEmpire
Indicates the relative position of an entity’s population size compared to other entities within the Inland Empire region.
-
E.
areaRankInUS
Indicates the relative position of an entity in a ranking of areas within the United States, based on its size.
- 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_69d6aae1b09881909ce2ded3fa0c14fa |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d85a21fb048190acb0960aefd4fe0a |
completed | April 10, 2026, 2:02 a.m. |
| PD | Predicate disambiguation | batch_69d808736c5c8190899b5b3b2e797f65 |
completed | April 9, 2026, 8:13 p.m. |
Created at: April 8, 2026, 9:36 p.m.