Triple
T6263305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Student Volunteer Movement for Foreign Missions |
E140351
|
entity |
| Predicate | missionFieldScope |
P13281
|
FINISHED |
| Object | overseas missions |
—
|
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: overseas missions | Statement: [Student Volunteer Movement for Foreign Missions, missionFieldScope, overseas missions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: missionFieldScope Context triple: [Student Volunteer Movement for Foreign Missions, missionFieldScope, overseas missions]
-
A.
missionField
Indicates a relationship where an entity’s work, activity, or purpose is directed toward a particular area, domain, or target context as its mission focus.
-
B.
missionScope
chosen
Indicates the defined range, objectives, and boundaries within which a mission or operation is intended to be carried out.
-
C.
missionFocus
Indicates that an entity’s primary attention, effort, or resources are directed toward a particular mission, goal, or objective.
-
D.
mission
Indicates that an entity is assigned or engaged in a specific task, operation, or purpose-directed undertaking.
-
E.
missionProfile
Indicates the specific set of objectives, conditions, and operational parameters that define how a mission is planned, conducted, and evaluated.
- 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_69c008c95c5c819084bd3dd56133d84d |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06387fec0819095b47a37b9402aa9 |
completed | March 22, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69c05605566c81908e197f5accd072d2 |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:25 p.m.