Triple
T5007079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RIBA Part 2 |
E112522
|
entity |
| Predicate | regulatesCompetenceIn |
P60803
|
FINISHED |
| Object | architectural design |
—
|
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: architectural design | Statement: [RIBA Part 2, regulatesCompetenceIn, architectural design]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regulatesCompetenceIn Context triple: [RIBA Part 2, regulatesCompetenceIn, architectural design]
-
A.
definesCompetenceOf
Indicates that one entity specifies, determines, or establishes the scope, level, or nature of another entity’s competence or capability.
-
B.
competence
Indicates that an entity has the ability, skill, or qualification to perform a task or fulfill a role effectively.
-
C.
regulatesIn
Indicates that one entity controls, modulates, or influences the activity, expression, or behavior of another entity within a system or process.
-
D.
hasCompetence
Indicates that an entity possesses the ability, skill, or qualification to perform a specific task or function effectively.
-
E.
competenceArea
Indicates that one entity has a particular domain, field, or area in which it possesses competence, expertise, or responsibility.
- 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_69bd4433d0b08190877e83959ef40d81 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd730a7590819088ab8d49c5c88c2f |
completed | March 20, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69bd714cbc448190aa53a8a83d768b64 |
completed | March 20, 2026, 4:09 p.m. |
| PDg | Predicate description generation | batch_69bd73089f548190834103366e24ab40 |
completed | March 20, 2026, 4:17 p.m. |
Created at: March 20, 2026, 1:35 p.m.