Triple
T34720690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Superior iron ranges |
E1000903
|
entity |
| Predicate | historicalPeakProduction |
P200110
|
FINISHED |
| Object | late 19th century |
—
|
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: late 19th century | Statement: [Lake Superior iron ranges, historicalPeakProduction, late 19th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalPeakProduction Context triple: [Lake Superior iron ranges, historicalPeakProduction, late 19th century]
-
A.
historicalPeak
Indicates that the related value or state represents the highest level ever reached by something within a historical or recorded time frame.
-
B.
approximatePeakProductionPeriod
chosen
Indicates the time span during which an entity’s production level is estimated to be at or near its maximum.
-
C.
historicalPeakIndustrialPeriod
Indicates the time period during which an entity reached its highest level of industrial activity or development.
-
D.
heldNumberOfProvincesAtPeak
Indicates the total number of provinces an entity controlled at the height of its territorial extent.
-
E.
historicalPeriodOfGreatestUse
Indicates the time period during which something was used most intensively or prevalently.
- 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_69f76daeb6e48190a4c9a6b0edc80f72 |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_6a007fc9d9688190af411d5841af34be |
completed | May 10, 2026, 12:53 p.m. |
| PD | Predicate disambiguation | batch_6a007f64813081909a2950336402073b |
completed | May 10, 2026, 12:51 p.m. |
Created at: May 3, 2026, 3:59 p.m.