Triple
T13101423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1969 Santa Barbara oil spill |
E310726
|
entity |
| Predicate | wildlifeAffected |
P66516
|
FINISHED |
| Object | seabirds |
—
|
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: seabirds | Statement: [1969 Santa Barbara oil spill, wildlifeAffected, seabirds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wildlifeAffected Context triple: [1969 Santa Barbara oil spill, wildlifeAffected, seabirds]
-
A.
hasWildlifeIssue
chosen
Indicates that an entity is affected by, involved in, or responsible for a problem or conflict related to wildlife.
-
B.
wildlifeStatus
Indicates the conservation or protection status assigned to wildlife, such as whether a species is endangered, threatened, or of least concern.
-
C.
wildlifeInteractionType
Indicates the type or nature of interaction occurring between wildlife and another entity (such as humans, other animals, or the environment).
-
D.
supportsWildlife
Indicates that one entity provides conditions, resources, or protection that help sustain or benefit wildlife associated with another entity.
-
E.
hasWildlifeHabitats
Indicates that an entity contains or supports natural environments where wildlife species live, feed, or reproduce.
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d981515d488190908d3cca1b84a42d |
completed | April 10, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_69d98041a3548190a05ddd83dbb660fa |
completed | April 10, 2026, 10:57 p.m. |
Created at: April 9, 2026, 9:04 p.m.