Triple
T31483290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eritrean Defence Forces |
E803203
|
entity |
| Predicate | conscriptionBasis |
P4136
|
FINISHED |
| Object | national service program |
—
|
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: national service program | Statement: [Eritrean Defence Forces, conscriptionBasis, national service program]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conscriptionBasis Context triple: [Eritrean Defence Forces, conscriptionBasis, national service program]
-
A.
conscriptionAppliesTo
Indicates that mandatory military service requirements are imposed on, or are applicable to, a particular person or group.
-
B.
usesConscription
chosen
Indicates that a state or authority compels individuals into military or national service through mandatory conscription.
-
C.
conscriptionTerm
Indicates the length or duration of mandatory military service imposed on individuals.
-
D.
volunteerOrConscript
Indicates that an entity participates in a role, service, or activity either by choosing to do so voluntarily or by being compelled or drafted into it.
-
E.
positionOnConscription
Indicates a stance or viewpoint that an entity holds regarding the policy or practice of conscription (mandatory military service).
- 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_69f348c9477c8190bc0a21f6d482d2fc |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a5f71b2c8190aade8a83f465be0c |
completed | May 3, 2026, 1:33 a.m. |
| PD | Predicate disambiguation | batch_69f69fe66df08190958558d63ee623d9 |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 30, 2026, 9:33 p.m.