Triple
T9079490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carterville, Missouri |
E217577
|
entity |
| Predicate | regionEconomicHistory |
P10778
|
FINISHED |
| Object | mining-based economy |
—
|
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: mining-based economy | Statement: [Carterville, Missouri, regionEconomicHistory, mining-based economy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionEconomicHistory Context triple: [Carterville, Missouri, regionEconomicHistory, mining-based economy]
-
A.
historicalEconomicBase
chosen
Indicates the primary type of economic activity or production that historically underpinned or sustained an entity’s economy.
-
B.
regionHistory
Indicates that there exists a historical or past association between a subject and a specific geographic or administrative region.
-
C.
historicalRegion
Indicates that an entity is or was a geographically defined area recognized for its significance during a particular historical period.
-
D.
regionalEconomyType
Indicates the type or classification of an economy associated with a specific region.
-
E.
historicalFocusRegion
Indicates that an entity’s primary historical attention, study, or activity is centered on a particular geographic region.
- 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_69ca83d7a0388190ba1af89ed7ba36f9 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc95c93ee48190842623b57e50f4cf |
completed | April 1, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69cc65fa79bc81908b46f05c8bba920f |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:12 p.m.