Triple
T9450238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Limestone, Maine |
E227867
|
entity |
| Predicate | hasEconomicChange |
P78236
|
FINISHED |
| Object | closure of Loring Air Force Base |
—
|
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: closure of Loring Air Force Base | Statement: [Limestone, Maine, hasEconomicChange, closure of Loring Air Force Base]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEconomicChange Context triple: [Limestone, Maine, hasEconomicChange, closure of Loring Air Force Base]
-
A.
hasEconomicShift
chosen
Indicates a change in the economic state, structure, or conditions affecting an entity over time.
-
B.
hasEconomicDimension
Indicates that something involves, affects, or is characterized by economic factors, considerations, or consequences.
-
C.
hasEconomicContext
Indicates that something is associated with, influenced by, or situated within a particular economic situation, condition, or set of financial circumstances.
-
D.
hasEconomicPosition
Indicates that an entity holds a particular role, status, or standing within an economic system or structure.
-
E.
hasEconomicFocus
Indicates that an entity is primarily concerned with, oriented toward, or specializing in economic matters, activities, or impacts.
- 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_69ca8439f8bc8190997f2ef40c9f0bc2 |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7f6649a48190b6844daa6202efe5 |
completed | April 1, 2026, 8:26 p.m. |
| PD | Predicate disambiguation | batch_69cca5596ffc819097e9c8eefd4ef9b8 |
completed | April 1, 2026, 4:55 a.m. |
Created at: March 30, 2026, 7:51 p.m.