Triple
T28654228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moses Blah |
E725283
|
entity |
| Predicate | wasInOfficeWhen |
P165179
|
FINISHED |
| Object | ECOWAS peacekeepers deployed to Liberia in 2003 |
—
|
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: ECOWAS peacekeepers deployed to Liberia in 2003 | Statement: [Moses Blah, wasInOfficeWhen, ECOWAS peacekeepers deployed to Liberia in 2003]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasInOfficeWhen Context triple: [Moses Blah, wasInOfficeWhen, ECOWAS peacekeepers deployed to Liberia in 2003]
-
A.
tookOfficeDuring
chosen
Indicates that one entity assumed or held an official position within the time period defined by another entity or event.
-
B.
wasInGovernmentWith
Indicates that two individuals served together within the same government or administration during an overlapping period.
-
C.
servedInOfficeTo
Indicates that one entity held and performed the duties of a particular office or position for the benefit or under the authority of another entity.
-
D.
hasBeenInGovernmentUntil
Indicates that an entity held a government position continuously up to a specified end time or date.
-
E.
succeededInOffice
Indicates that one officeholder directly followed another in holding the same official position.
- 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_69f01d84f5f0819087ab5e6143b14ed7 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f658ee40088190b71e1219407690d0 |
completed | May 2, 2026, 8:05 p.m. |
| PD | Predicate disambiguation | batch_69f65760fd3081908ffe014a5e2bf069 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 4:54 a.m.