Triple
T27758564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen Mary (Long Beach) |
E701397
|
entity |
| Predicate | ownerDuringService |
P20308
|
FINISHED |
| Object | Cunard-White Star Line |
—
|
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: Cunard-White Star Line | Statement: [Queen Mary (Long Beach), ownerDuringService, Cunard-White Star Line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ownerDuringService Context triple: [Queen Mary (Long Beach), ownerDuringService, Cunard-White Star Line]
-
A.
ownedDuring
chosen
Indicates that one entity possessed or held ownership of another entity for some or all of a specified time interval.
-
B.
serviceDuring
Indicates that one entity performs or provides a service for another entity during a specified time period or event.
-
C.
ownerLater
Indicates that one entity becomes the owner of another entity at a later point in time, after some prior state or ownership.
-
D.
ownsService
Indicates that one entity has ownership or control over a particular service.
-
E.
primaryBaseDuringService
Indicates that a particular base or location serves as the main or designated primary base for an entity during a specified period of service.
- 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_69ef6a5193808190816eb7d0020b2d87 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f6617ba4a88190bfc5c305acb4f93f |
completed | May 2, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69f660f082508190a95a7888ad66cb2e |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 27, 2026, 4:25 p.m.