Triple
T36622543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HMS Glasgow (Type 26 frigate) |
E904079
|
entity |
| Predicate | isFirstOfClass |
P46310
|
FINISHED |
| Object |
City-class frigate
The City-class frigate is a class of advanced Royal Navy Type 26 global combat ships designed primarily for anti-submarine warfare and general-purpose operations.
|
E2192304
|
NE FINISHED |
How this triple was built (3 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: City-class frigate | Statement: [HMS Glasgow (Type 26 frigate), isFirstOfClass, City-class frigate]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: City-class frigate Triple: [HMS Glasgow (Type 26 frigate), isFirstOfClass, City-class frigate]
Generated description
The City-class frigate is a class of advanced Royal Navy Type 26 global combat ships designed primarily for anti-submarine warfare and general-purpose operations.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFirstOfClass Context triple: [HMS Glasgow (Type 26 frigate), isFirstOfClass, City-class frigate]
-
A.
isFirstInHierarchy
Indicates that one entity occupies the topmost or highest-ranking position within a defined hierarchy relative to the others.
-
B.
isClass
Indicates that an entity functions as a class or type definition within a classification or type system.
-
C.
isSecondOfClass
Indicates that an entity holds the second position or rank within a defined class, category, or ordered group.
-
D.
isFirstInCategory
chosen
Indicates that an entity is the earliest or primary member within a defined category or group.
-
E.
isFirstToInclude
Indicates that an entity is the earliest or original one to incorporate or contain another specified entity, feature, or element.
- F. None of above.
Provenance (6 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_69f76e6ae750819096911e6e2d4d12c5 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c777e924819081a6634f549fe552 |
completed | May 3, 2026, 10:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3a0961ae8081908118d3985cba3516 |
completed | June 23, 2026, 4:19 a.m. |
| NEDg | Description generation | batch_6a3a0f30eacc8190a7d0690fde50c805 |
completed | June 23, 2026, 4:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a3a1037346081909b0728bd17e289f4 |
completed | June 23, 2026, 4:48 a.m. |
| PD | Predicate disambiguation | batch_69f7c477a4d481908f52e55b6688f60c |
completed | May 3, 2026, 9:56 p.m. |
Created at: May 3, 2026, 4:11 p.m.