Triple
T13689736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Financial Secretary of Tristan da Cunha |
E328228
|
entity |
| Predicate | isMinisterialLevel |
P57228
|
FINISHED |
| Object | no |
—
|
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: no | Statement: [Financial Secretary of Tristan da Cunha, isMinisterialLevel, no]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMinisterialLevel Context triple: [Financial Secretary of Tristan da Cunha, isMinisterialLevel, no]
-
A.
hasMinisterialRank
chosen
Indicates that an entity holds a position or status equivalent to a government minister in rank.
-
B.
methodOfMinistry
Indicates the specific way or approach through which ministry or religious service is carried out.
-
C.
hasMinisterialSeat
Indicates that a governmental or administrative body holds its official ministerial seat or headquarters at a particular location.
-
D.
typeOfMinister
Indicates the specific governmental or religious office or role that a particular minister holds.
-
E.
isAlwaysCabinetMinister
Indicates that the person continuously holds the position of cabinet minister, without periods outside that 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc6721c248190ac48491b5f39c8f0 |
completed | April 12, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69dbbe9059488190a8113177c83e1481 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:53 p.m.