Triple
T30542965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Senate |
E777329
|
entity |
| Predicate | typicalNameOf |
P1354
|
FINISHED |
| Object | upper chamber of parliament |
—
|
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: upper chamber of parliament | Statement: [Senate, typicalNameOf, upper chamber of parliament]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalNameOf Context triple: [Senate, typicalNameOf, upper chamber of parliament]
-
A.
typicalFullName
Indicates that the object is the standard or commonly used full name associated with the subject.
-
B.
typicalNameLength
Indicates the usual or characteristic number of characters in the names of entities in a given context.
-
C.
commonNameOf
chosen
Indicates that one entity is the commonly used or popular name by which the other entity is known.
-
D.
typicalEpithetForm
Indicates that one entity is the standard or characteristic wording used as an epithet or descriptive label for another entity.
-
E.
givenNameFor
Indicates that one entity is the personal first name assigned to or used for another entity.
- 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_69f2249d183c8190b79937c1768d2163 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a037c876524819098545e6037d3107d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e2fac0819089b522db3260028c |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 29, 2026, 8:19 p.m.