Triple
T37811795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lord Chancellor of the United Kingdom |
E942664
|
entity |
| Predicate | hasTitleInLegislation |
P11473
|
FINISHED |
| Object | Secretary of State |
—
|
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: Secretary of State | Statement: [Lord Chancellor of the United Kingdom, hasTitleInLegislation, Secretary of State]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTitleInLegislation Context triple: [Lord Chancellor of the United Kingdom, hasTitleInLegislation, Secretary of State]
-
A.
legislativeTitle
Indicates the official title or name assigned to a piece of legislation or legislative act.
-
B.
hasTitleIn
Indicates that an entity holds or is associated with a specific title within a particular context, domain, or language.
-
C.
hasTitleInLaw
chosen
Indicates that an entity holds or is designated by a specific formal title as defined or recognized in law.
-
D.
hasTitleOf
Indicates that one entity holds, bears, or is designated by the official title, name, or rank specified by another entity.
-
E.
hasTitleInName
Indicates that an entity’s name explicitly includes a specified title as part of it.
- 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_69f76ee8104c8190ab17133ccd8f86e6 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fe779248c081909f0ed1a2a0df23db |
completed | May 8, 2026, 11:53 p.m. |
| PD | Predicate disambiguation | batch_69fe76eaf6d48190998bc7168749cc42 |
completed | May 8, 2026, 11:51 p.m. |
Created at: May 3, 2026, 4:19 p.m.