Triple
T27724101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mae C. Jemison |
E699045
|
entity |
| Predicate | PeaceCorpsServiceCountry |
P163111
|
FINISHED |
| Object | Sierra Leone |
—
|
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: Sierra Leone | Statement: [Mae C. Jemison, PeaceCorpsServiceCountry, Sierra Leone]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: PeaceCorpsServiceCountry Context triple: [Mae C. Jemison, PeaceCorpsServiceCountry, Sierra Leone]
-
A.
PeaceCorpsServiceCountry
chosen
Indicates that a person’s Peace Corps service took place in a specified country.
-
B.
countryOfMission
Indicates that an entity (such as a mission, project, or operation) is associated with or takes place in a particular country.
-
C.
nationalService
Indicates that an entity performs or is obligated to perform service duties on behalf of a nation, typically in a governmental, military, or civic capacity.
-
D.
countryOfMilitaryService
Indicates that an entity served or is serving in the armed forces of a specified country.
-
E.
UNMission
Indicates that an entity is a United Nations peacekeeping or political mission operating in a specific area or context.
- 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_69ef591012dc8190a6f1ec994f9f7ff7 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f63894e5848190aec428392562ab06 |
completed | May 2, 2026, 5:47 p.m. |
| PD | Predicate disambiguation | batch_69f6370c8c7c8190a02ea82847bb6e76 |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 3:08 p.m.