Triple
T37530098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SS Empress of Canada (1997) |
E933011
|
entity |
| Predicate | hasLaterOwner |
P144443
|
FINISHED |
| Object | unknown |
—
|
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: unknown | Statement: [SS Empress of Canada (1997), hasLaterOwner, unknown]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLaterOwner Context triple: [SS Empress of Canada (1997), hasLaterOwner, unknown]
-
A.
hasOwnerWhoLaterOwned
Indicates that an entity is owned by someone who, at a later time, also became the owner of another specified entity.
-
B.
hasOwnerInThePast
Indicates that an entity was owned by another entity at some time in the past, but not necessarily in the present.
-
C.
ownerLater
chosen
Indicates that one entity becomes the owner of another entity at a later point in time, after some prior state or ownership.
-
D.
hasSuccessiveHolders
Indicates that one entity has a sequence of different entities that have held the same role, position, or status one after another over time.
-
E.
hasCoOwner
Indicates that an entity shares ownership of something with one or more other entities.
- 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_69f76ec8862c8190bfa24145f5480642 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ffe01c9d3c819084c256bb3c81c0dc |
completed | May 10, 2026, 1:32 a.m. |
| PD | Predicate disambiguation | batch_69ffdfcc78b08190aa4493f13d62a531 |
completed | May 10, 2026, 1:30 a.m. |
Created at: May 3, 2026, 4:17 p.m.