Triple
T25720197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 22nd Parliament of the United Kingdom |
E644969
|
entity |
| Predicate | hasGovernmentNumber |
P160276
|
FINISHED |
| Object | second Disraeli government |
—
|
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: second Disraeli government | Statement: [22nd Parliament of the United Kingdom, hasGovernmentNumber, second Disraeli government]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGovernmentNumber Context triple: [22nd Parliament of the United Kingdom, hasGovernmentNumber, second Disraeli government]
-
A.
hasNationalIdentity
Indicates that an entity possesses or is associated with a particular national identity or nationality.
-
B.
resultedInGovernmentNumber
Indicates that one event, action, or condition caused or produced a specific government-issued identification number.
-
C.
hasCivicNumber
Indicates that an entity is associated with a specific civic (street) number used for its address.
-
D.
governmentNumber
Indicates that an entity is assigned a specific official identification number by a government authority.
-
E.
hasGovernmentNumberInTerm
Indicates that a government-assigned identification number is associated with or valid during a specific term or period.
- 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_69e77e8476fc8190bd5e9d05b89fad0a |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f601f106a08190ad7b4537223dbd8c |
completed | May 2, 2026, 1:53 p.m. |
| PD | Predicate disambiguation | batch_69f5f7fba5248190945acf1561280799 |
completed | May 2, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69f600be0de88190989611e952b03117 |
completed | May 2, 2026, 1:48 p.m. |
Created at: April 21, 2026, 9:56 p.m.