Triple
T13101413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1969 Santa Barbara oil spill |
E310726
|
entity |
| Predicate | publicResponse |
P97013
|
FINISHED |
| Object | large local protests against offshore drilling |
—
|
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: large local protests against offshore drilling | Statement: [1969 Santa Barbara oil spill, publicResponse, large local protests against offshore drilling]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publicResponse Context triple: [1969 Santa Barbara oil spill, publicResponse, large local protests against offshore drilling]
-
A.
responseFrom
Indicates that one entity is the originator or source of a response directed to another entity or request.
-
B.
responseTool
Indicates a tool, method, or mechanism used to produce, deliver, or manage a response in a given context.
-
C.
possibleResponse
Indicates that an entity is a valid or acceptable reply, answer, or reaction to another entity or situation.
-
D.
typicalResponse
Indicates that an entity’s behavior, reaction, or outcome is the standard or commonly expected response in a given context or situation.
-
E.
responseExample
chosen
Indicates that one entity serves as an illustrative or sample response corresponding to another entity (such as a prompt, question, or situation).
- 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.