Triple
T827425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Environment Committee (London Assembly) |
E17884
|
entity |
| Predicate | typeOfScrutiny |
P3850
|
FINISHED |
| Object | thematic scrutiny |
—
|
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: thematic scrutiny | Statement: [Environment Committee (London Assembly), typeOfScrutiny, thematic scrutiny]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfScrutiny Context triple: [Environment Committee (London Assembly), typeOfScrutiny, thematic scrutiny]
-
A.
scrutinyMethods
Indicates the methods or procedures used to examine, inspect, or critically evaluate something.
-
B.
typeOfInvestigation
Indicates the specific kind or category of investigation being conducted or referred to in the relationship.
-
C.
typeOfAudit
Indicates the specific category or kind of audit being performed or referenced in relation to an entity.
-
D.
standardOfReview
chosen
Indicates the level and type of scrutiny an authority (such as a court or reviewer) applies when evaluating a prior decision, action, or finding.
-
E.
typeOfSignificance
Indicates that one entity specifies the nature or category of importance, relevance, or significance that another entity possesses.
- 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_69a4937c9c188190aaa216f6b466f452 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ab989748819091a3809a747a1c5b |
completed | March 1, 2026, 9:11 p.m. |
| PD | Predicate disambiguation | batch_69a4aa79a6488190a634388e071ed9b7 |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:38 p.m.