Triple
T1572280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iron Range region (Michigan) |
E33566
|
entity |
| Predicate | historicPeriodOfPeakActivity |
P18555
|
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: [Iron Range region (Michigan), historicPeriodOfPeakActivity, late 19th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicPeriodOfPeakActivity Context triple: [Iron Range region (Michigan), historicPeriodOfPeakActivity, late 19th century]
-
A.
historicalPeriodOfMajorActivity
chosen
Indicates the historical period during which an entity carried out its most significant or influential activities.
-
B.
occupationPeriod
Indicates the time span during which an entity holds or held a particular occupation or role.
-
C.
historicalPeriodOfSignificance
Indicates the time period during which an entity is considered to have had its most important or influential historical impact.
-
D.
historicalPeakIndustrialPeriod
Indicates the time period during which an entity reached its highest level of industrial activity or development.
-
E.
historicalPeriodOfUse
Indicates the time period during which something was in active use or commonly utilized.
- 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_69a885f11b048190935025a035302715 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a96083e7308190abbf025fe8e43abb |
completed | March 5, 2026, 10:52 a.m. |
| PD | Predicate disambiguation | batch_69a907ba63c88190b60c14dec8d1e40f |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:27 p.m.