Triple
T35958811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edmund Fitzgerald shipwreck |
E1039940
|
entity |
| Predicate | sternSectionCondition |
P184281
|
FINISHED |
| Object | inverted |
—
|
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: inverted | Statement: [Edmund Fitzgerald shipwreck, sternSectionCondition, inverted]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sternSectionCondition Context triple: [Edmund Fitzgerald shipwreck, sternSectionCondition, inverted]
-
A.
hasSternType
Indicates that an entity (typically a vessel) possesses a specific type or design of stern.
-
B.
sternDepth
Indicates the vertical distance from the waterline down to the lowest point of a vessel’s hull at the stern.
-
C.
sternDecorationPreservedAt
Indicates that the decorative elements on a vessel’s stern are preserved or kept at a specified location or institution.
-
D.
coreCondition
Indicates that something serves as the primary or fundamental condition that must hold for a situation, process, or relationship to apply.
-
E.
featuresCondition
Indicates that an entity includes, exhibits, or is characterized by a particular condition.
- 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_69f76e26b21081909fd9ffb3aff6c77a |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7acaec1508190a38f2ac9cc5383e7 |
completed | May 3, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69f7ab734d848190a84f9b8c3a952b75 |
completed | May 3, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69f7ac2210e481909279dade5328825c |
completed | May 3, 2026, 8:12 p.m. |
Created at: May 3, 2026, 4:07 p.m.