Triple
T36451841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Londoners |
E898030
|
entity |
| Predicate | citizenshipIncludes |
P164085
|
FINISHED |
| Object | British citizens |
—
|
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: British citizens | Statement: [Londoners, citizenshipIncludes, British citizens]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: citizenshipIncludes Context triple: [Londoners, citizenshipIncludes, British citizens]
-
A.
citizenshipContext
Indicates the legal or social circumstances under which an entity holds or is granted citizenship in a particular state or jurisdiction.
-
B.
definedCitizenship
Indicates that a formal citizenship status has been legally established or specified for an entity.
-
C.
leaderCitizenship
Indicates that a leader holds citizenship in, or is a national of, a particular country or political entity.
-
D.
citizenshipType
Indicates the specific legal category or status of an individual's citizenship in relation to a state or country.
-
E.
citizenshipCommon
chosen
Indicates that the related entities share the same citizenship or nationality.
- 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_69f76e57f08481908593bd0bc34581c8 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bccf05bc8190b61fdb2b2a315811 |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:10 p.m.