Triple
T16290325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lafayette River |
E395501
|
entity |
| Predicate | hasEcologicalEffort |
P122552
|
FINISHED |
| Object | oyster reef restoration |
—
|
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: oyster reef restoration | Statement: [Lafayette River, hasEcologicalEffort, oyster reef restoration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEcologicalEffort Context triple: [Lafayette River, hasEcologicalEffort, oyster reef restoration]
-
A.
hasEcology
Indicates that an entity has a particular ecological context, such as its habitat, environmental role, or interactions within an ecosystem.
-
B.
hasEcologicalProcess
Indicates that one entity exhibits, participates in, or is characterized by a particular ecological process affecting its environment or ecosystem.
-
C.
hasEnvironmentalImpactOn
Indicates that one entity affects or alters the environmental conditions, quality, or ecological state of another entity.
-
D.
hasEnvironmentalImpactType
Indicates that something affects the environment in a specific way categorized by a particular type of impact.
-
E.
ecologicalSensitivity
Indicates how strongly an entity or area is affected by, or responsive to, changes or disturbances in its surrounding ecological conditions.
- F. None of above. chosen
Provenance (4 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_69d87f22c7248190a54c949738441e2e |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2491821d0819086cffdd7551ba85a |
completed | April 17, 2026, 2:52 p.m. |
| PD | Predicate disambiguation | batch_69e219f68d308190b71c1601303f0628 |
completed | April 17, 2026, 11:31 a.m. |
| PDg | Predicate description generation | batch_69e21e56e0348190a3d9475360231a70 |
completed | April 17, 2026, 11:49 a.m. |
Created at: April 10, 2026, 5:05 a.m.