Triple
T36227334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SS Empress of Britain (2017) |
E891136
|
entity |
| Predicate | followsNamingTraditionOf |
P78011
|
FINISHED |
| Object | Empress of Britain (1906) |
—
|
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 (1906) | Statement: [SS Empress of Britain (2017), followsNamingTraditionOf, Empress of Britain (1906)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followsNamingTraditionOf Context triple: [SS Empress of Britain (2017), followsNamingTraditionOf, Empress of Britain (1906)]
-
A.
belongsToNamingTradition
chosen
Indicates that an entity is associated with or classified under a particular naming tradition or convention.
-
B.
followsRitualTraditionOf
Indicates that one entity practices, observes, or adheres to the ritual traditions established or maintained by another entity.
-
C.
followsNameOf
Indicates that one entity’s name comes immediately after another entity’s name in a specified ordering or sequence.
-
D.
traditionsMaintainedBy
Indicates that certain traditions are preserved, upheld, or continued in practice by a particular entity.
-
E.
traditionAscribes
Indicates that a tradition attributes or assigns a particular quality, role, origin, or action to an entity.
- 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_69f76e4387048190a1b27bcbf4ec7423 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ff32b88bf48190b45afd1b60cb511c |
completed | May 9, 2026, 1:12 p.m. |
| PD | Predicate disambiguation | batch_69ff3031e18881908927b2ab452de863 |
completed | May 9, 2026, 1:01 p.m. |
Created at: May 3, 2026, 4:09 p.m.