Triple
T1659764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nicola Sturgeon |
E35877
|
entity |
| Predicate | officeStartForFirstMinisterOfScotland |
P30995
|
FINISHED |
| Object | 2014-11-19 |
—
|
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: 2014-11-19 | Statement: [Nicola Sturgeon, officeStartForFirstMinisterOfScotland, 2014-11-19]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeStartForFirstMinisterOfScotland Context triple: [Nicola Sturgeon, officeStartForFirstMinisterOfScotland, 2014-11-19]
-
A.
officeStartAsPrimeMinister
Indicates the point in time when an individual begins their term serving in the role of prime minister.
-
B.
officeStartForPrimeMinisterOfPortugal
Indicates the date or event marking when an individual begins their term in office as the Prime Minister of Portugal.
-
C.
firstMinister
Indicates that one entity serves as the first minister (head of government or chief minister) of another entity, such as a country, region, or jurisdiction.
-
D.
startTime (Minister to the UK)
Indicates the date and time at which the person began serving in the role of Minister to the UK.
-
E.
officeStartForPresident
Indicates the date or point in time when a person begins serving in the role of president.
- 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_69a88606aa808190aa0b421b4271f220 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aaf3359ce48190803b322db8ad6027 |
completed | March 6, 2026, 3:31 p.m. |
| PD | Predicate disambiguation | batch_69a907cff53c8190b424f088478d3e2c |
completed | March 5, 2026, 4:34 a.m. |
| PDg | Predicate description generation | batch_69a99a4c3810819089d2dd0e23c8e46b |
completed | March 5, 2026, 2:59 p.m. |
Created at: March 4, 2026, 7:29 p.m.