Triple
T35288308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Union Oil Platform A |
E1019150
|
entity |
| Predicate | spillCleanup |
P183553
|
FINISHED |
| Object | large-scale shoreline cleanup operations in 1969 |
—
|
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-scale shoreline cleanup operations in 1969 | Statement: [Union Oil Platform A, spillCleanup, large-scale shoreline cleanup operations in 1969]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spillCleanup Context triple: [Union Oil Platform A, spillCleanup, large-scale shoreline cleanup operations in 1969]
-
A.
spillEffect
Indicates that one event, action, or condition produces secondary or indirect consequences that extend beyond its immediate scope.
-
B.
spillLocation
Indicates the place or area where a spill occurs or is present.
-
C.
isSpilledBy
Indicates that a substance or item becomes spilled as a result of an action performed by a particular agent or cause.
-
D.
spillType
Indicates the specific category or nature of a spill involved in the relationship or event.
-
E.
volumeSpilled
Indicates the quantity of a substance that has been unintentionally released or spilled from its container or source.
- F. None of above. chosen
Provenance (4 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_69f76de6d39c8190bb11342e4b91ff2b |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7a01efcc08190bba489a9099b8684 |
completed | May 3, 2026, 7:21 p.m. |
| PD | Predicate disambiguation | batch_69f79e4888248190be2f63cdfb5cd7b7 |
completed | May 3, 2026, 7:13 p.m. |
| PDg | Predicate description generation | batch_69f79f477c4c8190a35cb6d87b1dcbd1 |
completed | May 3, 2026, 7:17 p.m. |
Created at: May 3, 2026, 4:03 p.m.