Triple
T1430285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Republic of China Armed Forces |
E30427
|
entity |
| Predicate | usesConscriptionFor |
P4136
|
FINISHED |
| Object | male citizens of the Republic of China |
—
|
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: male citizens of the Republic of China | Statement: [Republic of China Armed Forces, usesConscriptionFor, male citizens of the Republic of China]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesConscriptionFor Context triple: [Republic of China Armed Forces, usesConscriptionFor, male citizens of the Republic of China]
-
A.
usesConscription
chosen
Indicates that a state or authority compels individuals into military or national service through mandatory conscription.
-
B.
enlistedIn
Indicates that an individual has formally joined and is serving in a particular military or service organization.
-
C.
militaryBranchEligibility
Indicates that an entity meets the required conditions to serve in a specified branch of the military.
-
D.
militaryForceUsed
Indicates that one entity employs or applies military power or armed force against, within, or in relation to another entity or situation.
-
E.
hasMilitaryAssociation
Indicates a relationship in which an entity is connected or affiliated with a military organization, activity, or function.
- 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_69a498fc69ec8190b61722bd4b67c4d2 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c500a9888190a16fbb1ec97a79c9 |
completed | March 1, 2026, 11 p.m. |
| PD | Predicate disambiguation | batch_69a4c4771c9481908ae47c959debbe77 |
completed | March 1, 2026, 10:57 p.m. |
Created at: March 1, 2026, 8 p.m.