Triple
T12178944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MV Captain Keith Tibbetts wreck |
E290164
|
entity |
| Predicate | hasNotableCondition |
P74201
|
FINISHED |
| Object | subject to storm damage over time |
—
|
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: subject to storm damage over time | Statement: [MV Captain Keith Tibbetts wreck, hasNotableCondition, subject to storm damage over time]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableCondition Context triple: [MV Captain Keith Tibbetts wreck, hasNotableCondition, subject to storm damage over time]
-
A.
notableCondition
chosen
Indicates that an entity has a medically or contextually significant condition associated with it.
-
B.
hasNotableIssue
Indicates that an entity is associated with a significant problem, concern, or defect that is noteworthy or exceptional compared to typical cases.
-
C.
hasNotableItem
Indicates that an entity possesses, contains, or is associated with an item considered notable or significant in some context.
-
D.
hasNotableType
Indicates that an entity is associated with a specific notable category or type that characterizes its significance or role.
-
E.
hasCondition
Indicates that an entity possesses, experiences, or is affected by a particular condition or state.
- 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_69d6ab64de5881908d56eb7a75c6cc69 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91a83012c81908d04bbab5fdcd8c2 |
completed | April 10, 2026, 3:42 p.m. |
| PD | Predicate disambiguation | batch_69d91510a258819090ef8fbdc2d8707b |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:50 p.m.