Triple
T23256535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siaka Stevens |
E581889
|
entity |
| Predicate | inceptionOfTermAsPrimeMinister |
P20266
|
FINISHED |
| Object | 1968 |
—
|
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: 1968 | Statement: [Siaka Stevens, inceptionOfTermAsPrimeMinister, 1968]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inceptionOfTermAsPrimeMinister Context triple: [Siaka Stevens, inceptionOfTermAsPrimeMinister, 1968]
-
A.
endTimeFirstTermAsPrimeMinister
Indicates the date and time when an individual’s first term serving as prime minister comes to an end.
-
B.
firstPrimeMinisterTermStart
chosen
Indicates the date on which an entity began serving its first term as prime minister.
-
C.
primeMinisterTermStart
Indicates the date on which an individual officially begins serving as prime minister.
-
D.
primeMinisterAtStart
Indicates that the subject was serving as prime minister at the beginning of a specified period or event.
-
E.
primeMinisterAtEnactment
Indicates that the referenced person was serving as prime minister at the time a particular law, act, or measure was enacted.
- 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_69e246079f58819085eaa9c260906880 |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f194c4905c819099ca21c6529413ac |
completed | April 29, 2026, 5:19 a.m. |
| PD | Predicate disambiguation | batch_69effce4d704819092826931d430e8c4 |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 4:11 p.m.