Triple
T7958850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goldfield, Nevada |
E184808
|
entity |
| Predicate | populationPeakApproximateValue |
P6809
|
FINISHED |
| Object | 20000 |
—
|
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: 20000 | Statement: [Goldfield, Nevada, populationPeakApproximateValue, 20000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationPeakApproximateValue Context triple: [Goldfield, Nevada, populationPeakApproximateValue, 20000]
-
A.
populationPeakAsLDSCity
Indicates that a city reached its highest recorded population while it was officially designated as an LDS (Latter-day Saints) city.
-
B.
populationAtPeak
chosen
Indicates that an entity’s population size is measured at its highest recorded level during a specified time or condition.
-
C.
populationFocus
Indicates that something is primarily directed toward, concerned with, or designed for a particular population or demographic group.
-
D.
populationConcentration
Indicates the degree to which a population is densely gathered or distributed within a specific area or region.
-
E.
populationMeasurementBy
Indicates that a population quantity or statistic is determined, recorded, or reported by a specified agent, method, or source.
- 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_69ca8293a2388190aace944d7ed9c0c0 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b80050c81909b2db95ade495052 |
completed | March 31, 2026, 3:12 a.m. |
| PD | Predicate disambiguation | batch_69cb0473d7dc8190a25d0cf460b9fcbe |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:11 p.m.