Triple
T37811242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Archuleta |
E942648
|
entity |
| Predicate | missionaryServiceCountry |
P73936
|
FINISHED |
| Object | Chile |
—
|
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: Chile | Statement: [David Archuleta, missionaryServiceCountry, Chile]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: missionaryServiceCountry Context triple: [David Archuleta, missionaryServiceCountry, Chile]
-
A.
missionaryRegion
Indicates that an entity carries out or is associated with missionary activities within a specified geographic region.
-
B.
countryOfMission
chosen
Indicates that an entity (such as a mission, project, or operation) is associated with or takes place in a particular country.
-
C.
PeaceCorpsServiceCountry
Indicates that a person’s Peace Corps service took place in a specified country.
-
D.
missionaryOrganization
Indicates that an entity is a religious or faith-based organization dedicated to missionary work or activities.
-
E.
workedAsMedicalMissionaryIn
Indicates that a person served in the role of a medical missionary in a particular place or region.
- 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_69f76ee8104c8190ab17133ccd8f86e6 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fd05ba6b2c81909c62b46237d10365 |
completed | May 7, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69fd03039e48819082b6e12c5453885a |
completed | May 7, 2026, 9:24 p.m. |
Created at: May 3, 2026, 4:19 p.m.