Triple
T36691420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baroness Evans of Bowes Park |
E905965
|
entity |
| Predicate | isInOfficeIn |
P29918
|
FINISHED |
| Object | House of Lords |
—
|
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: House of Lords | Statement: [Baroness Evans of Bowes Park, isInOfficeIn, House of Lords]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInOfficeIn Context triple: [Baroness Evans of Bowes Park, isInOfficeIn, House of Lords]
-
A.
inOfficeDuring
Indicates that an entity holds or occupies an office or position throughout a specified time period.
-
B.
officeIsIn
chosen
Indicates that one office is located within or inside another specified place or building.
-
C.
hasRelativeInOffice
Indicates that one entity has a family member who holds or held a particular office or official position.
-
D.
inOfficeAsOf
Indicates that an individual currently holds a particular office or position as of a specified date or time.
-
E.
representsInOffice
Indicates that one entity serves as an official representative of another entity within a specific office, position, or institutional role.
- 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_69f76e70d2448190bdd3ce781ba971c5 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7c7e6b3f481909ad2b44e11f578f2 |
completed | May 3, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69f7c4796ebc819084a0dc08505e5f14 |
completed | May 3, 2026, 9:56 p.m. |
Created at: May 3, 2026, 4:12 p.m.