Triple
T34400386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SS Empress of Canada (2029) |
E882961
|
entity |
| Predicate | hasPlannedBuilderType |
P187075
|
FINISHED |
| Object | shipbuilding firm |
—
|
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: shipbuilding firm | Statement: [SS Empress of Canada (2029), hasPlannedBuilderType, shipbuilding firm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPlannedBuilderType Context triple: [SS Empress of Canada (2029), hasPlannedBuilderType, shipbuilding firm]
-
A.
hasBuilderType
chosen
Indicates that an entity is associated with or characterized by a specific type or category of builder.
-
B.
isPlannedBuilder
Indicates that an entity is designated or intended to serve as the builder in a planned or future construction or creation activity.
-
C.
hasPlannedBuilderCountry
Indicates that an entity has a designated country responsible for planning or overseeing its construction or development.
-
D.
hasPlanningType
Indicates that an entity is associated with a specific category or type used for planning or scheduling purposes.
-
E.
hasPlannedOperatorType
Indicates that an entity is associated with a specific type of operator that is intended or scheduled to perform an operation or 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_69f349c1304081909331872829e38106 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd509e6bc08190b263923c2f40fea3 |
completed | May 8, 2026, 2:55 a.m. |
| PD | Predicate disambiguation | batch_69fd4fd1a58881909d4b84de1b24e380 |
completed | May 8, 2026, 2:52 a.m. |
Created at: May 1, 2026, 1:59 a.m.