Triple
T10571433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Area of Concern in the Great Lakes |
E249489
|
entity |
| Predicate | statusCanBe |
P8487
|
FINISHED |
| Object | designated |
—
|
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: designated | Statement: [Area of Concern in the Great Lakes, statusCanBe, designated]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusCanBe Context triple: [Area of Concern in the Great Lakes, statusCanBe, designated]
-
A.
statusModel
Indicates that an entity is associated with a particular status representation or status-handling model.
-
B.
statusIndicates
chosen
Indicates that a particular status value conveys or reflects the current condition, state, or situation of an entity or process.
-
C.
status
Indicates the current condition, state, or standing of an entity within a given context.
-
D.
statusInSI
Indicates that an entity’s status or condition is specified according to the International System of Units (SI) or an SI-based standard.
-
E.
statusDetermines
Indicates that the status or condition of one entity determines or governs the state, outcome, or behavior of another entity.
- 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_69d381c8bd708190acf3d275c908251e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5274678148190b7a1afc099628357 |
completed | April 7, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69d51901ff6c819095e7b528170a69dc |
completed | April 7, 2026, 2:47 p.m. |
Created at: April 6, 2026, 12:37 p.m.