Triple
T10180059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Israel Defense Forces |
E235959
|
entity |
| Predicate | hasConscriptionAge |
P4136
|
FINISHED |
| Object | 18 |
—
|
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: 18 | Statement: [Israel Defense Forces, hasConscriptionAge, 18]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasConscriptionAge Context triple: [Israel Defense Forces, hasConscriptionAge, 18]
-
A.
militaryAge
Indicates that an entity is within the age range typically considered eligible for military service.
-
B.
ageAtEnlistment
Indicates the age a person was when they enlisted in a service, organization, or role.
-
C.
conscriptionAppliesTo
Indicates that mandatory military service requirements are imposed on, or are applicable to, a particular person or group.
-
D.
usesConscription
chosen
Indicates that a state or authority compels individuals into military or national service through mandatory conscription.
-
E.
minimumRegistrationAge
Indicates the lowest age at which an entity is allowed or eligible to register for something.
- 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_69ca84d1d5f88190ab878a1021ecff68 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdecd7ed608190bfdec8b61cc99205 |
completed | April 2, 2026, 4:13 a.m. |
| PD | Predicate disambiguation | batch_69cd7c79f21c8190a7f31b2eab80b8ba |
completed | April 1, 2026, 8:13 p.m. |
Created at: March 30, 2026, 9:11 p.m.