Triple
T35078803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Advocates (Scotland) |
E1012375
|
entity |
| Predicate | professionalAddress |
P183547
|
FINISHED |
| Object | Parliament House, Edinburgh |
—
|
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: Parliament House, Edinburgh | Statement: [Advocates (Scotland), professionalAddress, Parliament House, Edinburgh]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: professionalAddress Context triple: [Advocates (Scotland), professionalAddress, Parliament House, Edinburgh]
-
A.
professionalOutcome
Indicates the resulting professional status, achievement, or consequence that arises from a person’s work-related actions, experiences, or decisions.
-
B.
professionalCareer
Indicates the relationship capturing a person’s work-related roles, positions, and progression over time in their occupation or field.
-
C.
professionalWins
Indicates that one entity has achieved a certain number of victories or successes in a professional context, such as in a career, competition, or formal domain.
-
D.
professionalBase
Indicates that one entity serves as the primary professional location, organization, or base of operations for another entity.
-
E.
professionalEnvironment
Indicates a relationship where an entity operates, interacts, or exists within a work-related or career-oriented setting or context.
- 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_69f76dd32c008190853aef6028f60208 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7a01efcc08190bba489a9099b8684 |
completed | May 3, 2026, 7:21 p.m. |
| PD | Predicate disambiguation | batch_69f79e4888248190be2f63cdfb5cd7b7 |
completed | May 3, 2026, 7:13 p.m. |
| PDg | Predicate description generation | batch_69f79f477c4c8190a35cb6d87b1dcbd1 |
completed | May 3, 2026, 7:17 p.m. |
Created at: May 3, 2026, 4:01 p.m.