Triple
T21626462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mon Repos Beach |
E533716
|
entity |
| Predicate | wildlifeProtectionMeasures |
P23663
|
FINISHED |
| Object | light pollution control |
—
|
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: light pollution control | Statement: [Mon Repos Beach, wildlifeProtectionMeasures, light pollution control]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wildlifeProtectionMeasures Context triple: [Mon Repos Beach, wildlifeProtectionMeasures, light pollution control]
-
A.
supportsWildlife
Indicates that one entity provides conditions, resources, or protection that help sustain or benefit wildlife associated with another entity.
-
B.
conservationActions
chosen
Indicates actions or measures undertaken to protect, restore, or sustainably manage a species, habitat, or ecosystem.
-
C.
wildlifeProtectionStatus
Indicates the level or type of legal or conservation protection currently applied to wildlife.
-
D.
wildlifeStatus
Indicates the conservation or protection status assigned to wildlife, such as whether a species is endangered, threatened, or of least concern.
-
E.
associatedWithWildlifeRegulation
Indicates a relationship where something is connected to, governed by, or involved in the regulation or management of wildlife.
- 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_69e0c464fba881908d0ff2ac80511ce1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef52131f2c8190b9966adf43a0fe4f |
completed | April 27, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69e69677b9c48190bf81f795aa8ad74e |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:34 p.m.