Triple
T11501849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HMS Gurkha (F63) |
E272681
|
entity |
| Predicate | constructionStandard |
P99829
|
FINISHED |
| Object | Royal Navy destroyer standards of the 1930s |
—
|
LITERAL FINISHED |
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: Royal Navy destroyer standards of the 1930s | Statement: [HMS Gurkha (F63), constructionStandard, Royal Navy destroyer standards of the 1930s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: constructionStandard Context triple: [HMS Gurkha (F63), constructionStandard, Royal Navy destroyer standards of the 1930s]
-
A.
constructionType
Indicates the specific method or style by which something is built or constructed.
-
B.
constructionBase
Indicates that one entity serves as the foundational structure or base upon which another entity is constructed or built.
-
C.
constructionMethod
Indicates the technique or process by which something is built, assembled, or created.
-
D.
constructionLabor
Indicates a relationship where an entity performs or provides labor specifically for construction-related work or projects.
-
E.
constructionProgram
Indicates that an entity is involved in or associated with a program or plan for constructing, building, or developing something.
- 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_69d6aae2c3748190bed2ea50dfb160dc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d85de55cbc8190be71c2d03dc044f2 |
completed | April 10, 2026, 2:18 a.m. |
| PD | Predicate disambiguation | batch_69d808736c5c8190899b5b3b2e797f65 |
completed | April 9, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69d822ef46988190a1c360da4ee14fef |
completed | April 9, 2026, 10:06 p.m. |
Created at: April 8, 2026, 9:36 p.m.