Triple
T27173307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Exxon Valdez |
E682975
|
entity |
| Predicate | spilledSubstance |
P35724
|
FINISHED |
| Object | crude oil |
—
|
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: crude oil | Statement: [Exxon Valdez, spilledSubstance, crude oil]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spilledSubstance Context triple: [Exxon Valdez, spilledSubstance, crude oil]
-
A.
spillType
Indicates the specific category or nature of a spill involved in the relationship or event.
-
B.
volumeSpilled
Indicates the quantity of a substance that has been unintentionally released or spilled from its container or source.
-
C.
notableSubstanceReleased
chosen
Indicates that an entity has released or emitted a particular notable substance.
-
D.
pouredOutBy
Indicates that a substance or liquid was released or emptied from a container or source by a particular agent or entity.
-
E.
appearsToPour
Indicates that one entity is visually perceived as pouring a substance or object into or onto another entity, regardless of whether the pouring actually occurs.
- 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_69eefad086808190ab89816c0c300476 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f62549039c8190af7159d07416c985 |
completed | May 2, 2026, 4:24 p.m. |
| PD | Predicate disambiguation | batch_69f61b40f02081909bd9c3ea73249163 |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 9:24 a.m.