Triple
T30208445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luke, Maryland |
E768001
|
entity |
| Predicate | economyHistoricallyDependentOn |
P10778
|
FINISHED |
| Object | paper mill |
—
|
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: paper mill | Statement: [Luke, Maryland, economyHistoricallyDependentOn, paper mill]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: economyHistoricallyDependentOn Context triple: [Luke, Maryland, economyHistoricallyDependentOn, paper mill]
-
A.
historicalEconomicBase
chosen
Indicates the primary type of economic activity or production that historically underpinned or sustained an entity’s economy.
-
B.
economyContrast
Indicates that two entities are being compared or opposed in terms of their economic characteristics, conditions, or performance.
-
C.
hasColonialEconomyBasedOn
Indicates that an entity’s colonial economy is primarily structured around or dependent on the specified resource, activity, or economic basis.
-
D.
stanceOnEconomy
Indicates a subject's expressed position, opinion, or policy view regarding economic issues or economic policy.
-
E.
impactOnEconomy
Indicates the effect or influence that one factor, event, or action has on the state or performance of an economy.
- 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_69f2247eb0848190b4032f302d39c0d9 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6bbf6e33c819086e5176d64e7a614 |
completed | May 3, 2026, 3:07 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6b1e6c8190adf9d6a257e0b744 |
completed | May 3, 2026, 3 a.m. |
Created at: April 29, 2026, 7:32 p.m.