Triple
T30036692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Sea Chase |
E763177
|
entity |
| Predicate | featuresFictionalVessel |
P69373
|
FINISHED |
| Object | German freighter Ergenstrasse |
—
|
NE NERFINISHED |
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: German freighter Ergenstrasse | Statement: [The Sea Chase, featuresFictionalVessel, German freighter Ergenstrasse]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresFictionalVessel Context triple: [The Sea Chase, featuresFictionalVessel, German freighter Ergenstrasse]
-
A.
featuresVessel
Indicates that one entity includes, presents, or prominently displays a particular vessel as part of its composition, content, or configuration.
-
B.
fictionalShip
chosen
Indicates that one entity is a ship that exists only in fiction or narrative works, rather than in reality.
-
C.
featuresFictionalUnit
Indicates that something includes or presents a fictional unit (such as a character, group, or organization) as part of its content or structure.
-
D.
navalFeatures
Indicates that something possesses characteristics, components, or attributes specifically associated with naval or maritime contexts.
-
E.
notableShip
Indicates that there is a notable or significant ship associated with the subject entity.
- 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_69f2246fb2b88190acff36bf7975c8f0 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69ffc083a54c8190ac80d05ee8d20a6b |
completed | May 9, 2026, 11:17 p.m. |
| PD | Predicate disambiguation | batch_69ffbfeb05b88190b4d50ce8124004d9 |
completed | May 9, 2026, 11:14 p.m. |
Created at: April 29, 2026, 6:51 p.m.