Triple
T24616682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metropolitan boroughs of London |
E609280
|
entity |
| Predicate | hasNumberOfConstituentUnits |
P5741
|
FINISHED |
| Object | 28 |
—
|
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: 28 | Statement: [Metropolitan boroughs of London, hasNumberOfConstituentUnits, 28]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfConstituentUnits Context triple: [Metropolitan boroughs of London, hasNumberOfConstituentUnits, 28]
-
A.
hasSubunits
Indicates that an entity is composed of or organized into smaller constituent units that are part of its structure.
-
B.
numberOfConstituents
chosen
Indicates the total count of individual components or members that make up a larger whole or group.
-
C.
numberOfConstituentsType
Indicates the type or category used to classify how many constituents (parts or members) are involved in or associated with something.
-
D.
hasUnitStructure
Indicates that an entity possesses a specific internal organization or arrangement that defines its structural composition.
-
E.
hasConstituentUnion
Indicates that an entity (such as a larger organization or federation) is composed of, or formally includes, a specific trade union as one of its constituent members.
- 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_69e2c4d1140081909c58667bf68f80c3 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6ca751c8190a040c10d701ecf3a |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:31 a.m.