Triple
T12783475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MC252 |
E305564
|
entity |
| Predicate | approximateOilSpilled |
P78368
|
FINISHED |
| Object | 4.9 million barrels |
—
|
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: 4.9 million barrels | Statement: [MC252, approximateOilSpilled, 4.9 million barrels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateOilSpilled Context triple: [MC252, approximateOilSpilled, 4.9 million barrels]
-
A.
shorelineHeavilyOiledLength
Indicates the length of shoreline that has been significantly contaminated with oil.
-
B.
approximates
Indicates that one entity is close to, but not exactly equal to, the value, form, or behavior of another entity.
-
C.
oilReleaseDuration
Indicates the length of time over which oil is or was released in a given event or process.
-
D.
volumeSpilled
chosen
Indicates the quantity of a substance that has been unintentionally released or spilled from its container or source.
-
E.
approximateAircraftLost
Indicates an estimated or approximate number of aircraft that were lost in an event or operation.
- 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_69d7bdf2b43c819098ae5aa68e61ea58 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e5cb3c08190b8e1e22de8b96e17 |
completed | April 10, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69d9640ba0688190973e4e7ec8d4a8e0 |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:29 p.m.