Triple
T22342023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aldermanbury, London |
E552297
|
entity |
| Predicate | hasAssociatedFunction |
P23285
|
FINISHED |
| Object | legal and civic functions |
—
|
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: legal and civic functions | Statement: [Aldermanbury, London, hasAssociatedFunction, legal and civic functions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAssociatedFunction Context triple: [Aldermanbury, London, hasAssociatedFunction, legal and civic functions]
-
A.
associatedFunction
chosen
Indicates that one entity has a related or linked function that is conceptually or operationally connected to it.
-
B.
containsFunction
Indicates that one entity includes, defines, or provides the implementation of a particular function.
-
C.
hasFunctionInPresent
Indicates that an entity currently performs, exhibits, or fulfills a specific function or role at the present time.
-
D.
hasUserFunction
Indicates that an entity is associated with, or assigned, a particular user-related role, capability, or function.
-
E.
hasLFunction
Indicates that an entity possesses or is associated with a specific L-function, typically representing a complex analytic function linked to its arithmetic or geometric properties.
- 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_69e11e494eec81909c4d2d51f69499d9 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15794fae48190a2b79e9ae4b57bb1 |
completed | April 29, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e7300c20088190a59e5bf9e70384f3 |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:43 p.m.