Triple
T36938935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SS Empress of Britain (1987) |
E913696
|
entity |
| Predicate | hasNameTradition |
P17611
|
FINISHED |
| Object | Empress of Britain |
—
|
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: Empress of Britain | Statement: [SS Empress of Britain (1987), hasNameTradition, Empress of Britain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNameTradition Context triple: [SS Empress of Britain (1987), hasNameTradition, Empress of Britain]
-
A.
hasTraditionalName
chosen
Indicates that an entity is associated with a name traditionally used or recognized for it, often rooted in long-standing cultural or historical practice.
-
B.
belongsToNamingTradition
Indicates that an entity is associated with or classified under a particular naming tradition or convention.
-
C.
countryOfNamingTradition
Indicates the country whose cultural or linguistic naming conventions are used to form or interpret a given name.
-
D.
textBelongsToTradition
Indicates that a given text is associated with, derived from, or recognized as part of a particular intellectual, cultural, or religious tradition.
-
E.
hasHeritageName
Indicates that an entity is associated with a specific heritage-related name, typically reflecting cultural, historical, or ancestral identity.
- 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_69f76e8a6a5c81909c1febf32bf3fe23 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ff8ba3f8248190bbdf8e7ec2b35093 |
completed | May 9, 2026, 7:31 p.m. |
| PD | Predicate disambiguation | batch_69ff8b41ba988190a7332e8317d10f09 |
completed | May 9, 2026, 7:30 p.m. |
Created at: May 3, 2026, 4:13 p.m.