Triple
T1019842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Comprehensive Everglades Restoration Plan |
E22013
|
entity |
| Predicate | longTermHorizon |
P106
|
FINISHED |
| Object | multi-decade |
—
|
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: multi-decade | Statement: [Comprehensive Everglades Restoration Plan, longTermHorizon, multi-decade]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: longTermHorizon Context triple: [Comprehensive Everglades Restoration Plan, longTermHorizon, multi-decade]
-
A.
timeHorizonOfLoans
Indicates the length of time over which loans are scheduled to be outstanding or repaid.
-
B.
laterPerception
Indicates that one entity’s perception, awareness, or observation of something occurs after another specified time, event, or perception.
-
C.
focusPeriod
chosen
Indicates the specific time span during which attention, activity, or analysis is concentrated on something.
-
D.
legacyGoal
Indicates that an entity has a long-term, enduring objective or impact it aims to leave behind beyond its immediate actions or existence.
-
E.
timePeriodOfMajorImportance
Indicates that a particular time period holds significant importance or prominence within a given context or domain.
- 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_69a493d6e380819097b384986ffc315c |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7dbcf7c8190858b2d16a27bd2ff |
completed | March 1, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69a4b724c7908190a5b92a57fbdbff4e |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:41 p.m.