Triple
T35759035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hardal communities |
E1033521
|
entity |
| Predicate | attitudeToMilitaryService |
P129886
|
FINISHED |
| Object | supportive of IDF service |
—
|
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: supportive of IDF service | Statement: [Hardal communities, attitudeToMilitaryService, supportive of IDF service]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: attitudeToMilitaryService Context triple: [Hardal communities, attitudeToMilitaryService, supportive of IDF service]
-
A.
stanceOnMilitaryService
chosen
Indicates an entity’s expressed position, attitude, or policy regarding military service.
-
B.
involvesMilitaryService
Indicates that the relationship or situation includes participation in, obligation to, or association with formal military service.
-
C.
hadMilitaryObligationsTo
Indicates that one party was bound by duty or law to provide military service, support, or protection to another party.
-
D.
personReferredToMilitaryService
Indicates that one person has directed, recommended, or assigned another person to perform military service.
-
E.
militaryStatus
Indicates the relationship between an entity and a military organization in terms of service condition, such as active duty, reserve, veteran, or non-military status.
- 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_69f76e1262f48190a313318665acc189 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a1c2030881908aeb62c4eba771d7 |
completed | May 3, 2026, 7:28 p.m. |
| PD | Predicate disambiguation | batch_69f7a070e23881909a233370acb57384 |
completed | May 3, 2026, 7:22 p.m. |
Created at: May 3, 2026, 4:06 p.m.