Triple
T38037079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | גבעת שמואל |
E949379
|
entity |
| Predicate | קוד סטטיסטי (למ"ס) |
P189892
|
FINISHED |
| Object | 246 |
—
|
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: 246 | Statement: [גבעת שמואל, קוד סטטיסטי (למ"ס), 246]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: קוד סטטיסטי (למ"ס) Context triple: [גבעת שמואל, קוד סטטיסטי (למ"ס), 246]
-
A.
statisticalUnitOf
Indicates that one entity serves as the statistical unit (the basic unit of observation or analysis) for which data or statistics are collected or reported about another entity.
-
B.
statisticalStatus
Indicates that one entity represents the statistical condition, classification, or state of another entity within a quantitative or data-analysis context.
-
C.
statisticalDefinitionUsedBy
Indicates that a particular statistical definition is employed or applied by a given entity (such as a method, model, or analysis).
-
D.
statisticalType
Indicates that one entity specifies the kind or category of statistical characterization or measurement that applies to another entity.
-
E.
statisticalDefinitionAuthority
Indicates the organization or entity that has official responsibility for defining or authoritatively specifying a particular statistical concept, measure, or methodology.
- F. None of above. chosen
Provenance (4 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_69f76eff0bb0819084bc4e63997bd039 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fc44c7e73c819082d4fc1900fb9632 |
completed | May 7, 2026, 7:52 a.m. |
| PD | Predicate disambiguation | batch_69fbc8efffbc8190a139798ad1880526 |
completed | May 6, 2026, 11:04 p.m. |
| PDg | Predicate description generation | batch_69fc44c67118819088accfeded7b449e |
completed | May 7, 2026, 7:52 a.m. |
Created at: May 3, 2026, 4:20 p.m.