Triple
T7958849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goldfield, Nevada |
E184808
|
entity |
| Predicate | populationPeakApproximateYear |
P18122
|
FINISHED |
| Object | 1906 |
—
|
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: 1906 | Statement: [Goldfield, Nevada, populationPeakApproximateYear, 1906]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationPeakApproximateYear Context triple: [Goldfield, Nevada, populationPeakApproximateYear, 1906]
-
A.
populationAtPeak
Indicates that an entity’s population size is measured at its highest recorded level during a specified time or condition.
-
B.
peakYear
chosen
Indicates the year in which something reached its highest or most significant level, performance, or prominence.
-
C.
populationLowPointYear
Indicates the year in which a population reached its lowest recorded level within a given time span.
-
D.
hasPopulationAsOf
Indicates that a population count is associated with a specific point or date in time when that population figure was valid or recorded.
-
E.
territorialPeakYear
Indicates the specific year in which an entity reached its greatest territorial extent.
- 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.