Triple
T18346521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of Redding, California |
E439553
|
entity |
| Predicate | populationRankInNorthernSacramentoValley |
P131454
|
FINISHED |
| Object | one of the largest 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: one of the largest cities | Statement: [City of Redding, California, populationRankInNorthernSacramentoValley, one of the largest cities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationRankInNorthernSacramentoValley Context triple: [City of Redding, California, populationRankInNorthernSacramentoValley, one of the largest cities]
-
A.
populationRankInInlandEmpire
Indicates the relative position of an entity’s population size compared to other entities within the Inland Empire region.
-
B.
rankInCaliforniaByPopulation
Indicates the ordinal position of an entity in a list of California entities ordered by their population size.
-
C.
distanceFromSacramento
Indicates the measured distance between a given location and the city of Sacramento.
-
D.
rankInCalifornia
Indicates the position or standing of an entity within a ranking specific to California.
-
E.
populationRankInCounty
Indicates the relative position of an entity in terms of population size compared to other entities within the same county.
- F. None of above. chosen
Provenance (4 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_69d8b9175fec8190af865699b4e64d8c |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e514f4740c8190b70ba48a4232953e |
completed | April 19, 2026, 5:46 p.m. |
| PD | Predicate disambiguation | batch_69e44fe91bc08190906518e1b120fcf0 |
completed | April 19, 2026, 3:45 a.m. |
| PDg | Predicate description generation | batch_69e4561d665081908ec555344e76d82b |
completed | April 19, 2026, 4:12 a.m. |
Created at: April 10, 2026, 10:37 a.m.