Triple
T36588289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SS Empress of Canada (2035) |
E902588
|
entity |
| Predicate | hasPlannedBuilder |
P179382
|
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 (2035), hasPlannedBuilder, unknown]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPlannedBuilder Context triple: [SS Empress of Canada (2035), hasPlannedBuilder, unknown]
-
A.
isPlannedBuilder
chosen
Indicates that an entity is designated or intended to serve as the builder in a planned or future construction or creation activity.
-
B.
hasPlannedBuilderCountry
Indicates that an entity has a designated country responsible for planning or overseeing its construction or development.
-
C.
hasPlanner
Indicates that an entity is associated with or assigned a planner responsible for organizing or managing its activities or processes.
-
D.
hasPlannedPart
Indicates that one entity includes another entity as a component or segment within a planned or scheduled whole.
-
E.
hasBuilderPredecessor
Indicates that one builder entity temporally or logically precedes another in a construction or creation process.
- 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_69f76e6592e88190bac4eb00a46e9df9 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fdec5ffe088190ac5505f26c6cff18 |
completed | May 8, 2026, 2 p.m. |
| PD | Predicate disambiguation | batch_69fdeae15f1c81908fc63fbc1b028d2e |
completed | May 8, 2026, 1:53 p.m. |
Created at: May 3, 2026, 4:11 p.m.