Triple
T2861459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deepwater Horizon oil spill |
E63331
|
entity |
| Predicate | estimatedOilVolume |
P10552
|
FINISHED |
| Object | about 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: about 4.9 million barrels | Statement: [Deepwater Horizon oil spill, estimatedOilVolume, about 4.9 million barrels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: estimatedOilVolume Context triple: [Deepwater Horizon oil spill, estimatedOilVolume, about 4.9 million barrels]
-
A.
hasEstimatedNumberOfBunkers
Indicates that an entity is associated with an approximate or estimated count of bunkers.
-
B.
oilContent
Indicates the amount or proportion of oil present in a given substance, material, or item.
-
C.
containsOilField
Indicates that one entity geographically includes or encompasses an oil field within its boundaries.
-
D.
hasEstimatedOriginalVolume
chosen
Indicates that an entity is associated with an approximate or calculated value for its original volume.
-
E.
waterVolume
Indicates the amount of water present in or associated with an entity, typically measured as a volume.
- 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_69ab4c41e8c08190a9e8f5249cc12610 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf8df8288190816767169ea7cbf9 |
completed | March 7, 2026, 8:19 a.m. |
| PD | Predicate disambiguation | batch_69abdd123ec48190af50a1859aea50b7 |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:02 p.m.