Triple
T32053963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Navy frigates |
E818564
|
entity |
| Predicate | modernClassesInclude |
P131580
|
FINISHED |
| Object | Type 23 frigate |
—
|
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: Type 23 frigate | Statement: [Royal Navy frigates, modernClassesInclude, Type 23 frigate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modernClassesInclude Context triple: [Royal Navy frigates, modernClassesInclude, Type 23 frigate]
-
A.
includesClasses
chosen
Indicates that one entity contains or encompasses one or more class-type entities as part of its definition or structure.
-
B.
modernExampleHolder
Indicates that an entity serves as a contemporary or current example or instance of another entity.
-
C.
modernUse
Indicates how something is currently used or applied in modern times.
-
D.
modernAccess
Indicates that an entity has contemporary, up-to-date means or methods of accessing or interacting with another entity or resource.
-
E.
modernVariation
Indicates that one entity is a contemporary or updated version, adaptation, or reinterpretation of another.
- 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_69f348fdacec8190b9f74375ca3b2094 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fcc7338120819081cb46547d60f2cb |
completed | May 7, 2026, 5:09 p.m. |
| PD | Predicate disambiguation | batch_69fcc58566a0819082d5ea36e03bf0c6 |
completed | May 7, 2026, 5:01 p.m. |
Created at: May 1, 2026, 12:21 a.m.