Triple
T27227437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Svärdet |
E682054
|
entity |
| Predicate | navalRankFlagshipOf |
P163483
|
FINISHED |
| Object | Admiral Claes Uggla |
—
|
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: Admiral Claes Uggla | Statement: [Svärdet, navalRankFlagshipOf, Admiral Claes Uggla]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: navalRankFlagshipOf Context triple: [Svärdet, navalRankFlagshipOf, Admiral Claes Uggla]
-
A.
fleetFlagshipOf
Indicates that one entity serves as the primary or leading flagship of a particular fleet.
-
B.
flagshipCarrierOf
Indicates that one entity serves as the primary or most prominent carrier (such as an airline or telecommunications provider) representing or associated with another entity, typically a country, brand, or organization.
-
C.
navalName
Indicates that an entity has a specific name used in a naval or maritime context.
-
D.
squadronFlagshipOf
Indicates that one entity serves as the primary or lead flagship vessel of a particular squadron.
-
E.
navalFleet
Indicates a relationship where multiple naval vessels are organized and operate together as a coordinated maritime military force.
- F. None of above. chosen
Provenance (4 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_69eefacdad7881908b7bca61c90a1a1e |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f638d11c988190af7fd4572b08e038 |
completed | May 2, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69f63709e4848190b5cf322e06b23fb6 |
completed | May 2, 2026, 5:40 p.m. |
| PDg | Predicate description generation | batch_69f638344b148190bf0414ef7c5f1f38 |
completed | May 2, 2026, 5:45 p.m. |
Created at: April 27, 2026, 9:45 a.m.