Triple
T8752385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chilean ship Capitán Prat |
E207989
|
entity |
| Predicate | hasCrewNationality |
P85192
|
FINISHED |
| Object | Chilean |
—
|
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: Chilean | Statement: [Chilean ship Capitán Prat, hasCrewNationality, Chilean]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCrewNationality Context triple: [Chilean ship Capitán Prat, hasCrewNationality, Chilean]
-
A.
hasDirectorNationality
Indicates that the nationality of a director is associated with a given entity (such as a film, organization, or work).
-
B.
hasCrewMember
Indicates that an entity includes or employs another entity as a member of its crew.
-
C.
hasCrewRole
Indicates that an entity serves in a specific role or position within a crew associated with another entity.
-
D.
hasNotableCrewMember
Indicates that an entity is associated with a crew member who is considered notable or distinguished in some way.
-
E.
nationalityOfActor
Indicates that a specified nationality is associated with, or belongs to, a particular actor.
- 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_69ca835cd6b08190bd7c63db92f53c86 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5da8cc548190a31ad542d2faf2d5 |
completed | March 31, 2026, 11:50 p.m. |
| PD | Predicate disambiguation | batch_69cc5c160dac8190b4aeb4bf0529de52 |
completed | March 31, 2026, 11:43 p.m. |
| PDg | Predicate description generation | batch_69cc5cfddef48190aee764ee7b25bae9 |
completed | March 31, 2026, 11:47 p.m. |
Created at: March 30, 2026, 6:39 p.m.