Triple
T4144230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | moshav movement |
E89344
|
entity |
| Predicate | keyDifferenceFromKibbutz |
P54132
|
FINISHED |
| Object | family household is primary economic unit |
—
|
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: family household is primary economic unit | Statement: [moshav movement, keyDifferenceFromKibbutz, family household is primary economic unit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: keyDifferenceFromKibbutz Context triple: [moshav movement, keyDifferenceFromKibbutz, family household is primary economic unit]
-
A.
roleInIsrael
Indicates that an entity holds or held a specific role, position, or function within the context of Israel.
-
B.
differenceFromShabbat
Indicates a relationship where something is characterized or measured specifically by how it differs from Shabbat in status, practice, or conditions.
-
C.
diasporaCharacteristic
Indicates that an entity possesses a quality, feature, or attribute specifically associated with a diaspora community or condition.
-
D.
distanceFromTelAviv_km
Indicates the physical distance, measured in kilometers, between a given place and Tel Aviv.
-
E.
distanceFromJerusalem
Indicates the spatial distance between a given location and Jerusalem.
- 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_69aed95785788190ae75bcf0cd1cafdf |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af03a0f3408190adba7a8513bd3d12 |
completed | March 9, 2026, 5:30 p.m. |
| PD | Predicate disambiguation | batch_69af018a54848190987f18c066c75068 |
completed | March 9, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69af039fb19c8190b20e62a3b3ad25c1 |
completed | March 9, 2026, 5:30 p.m. |
Created at: March 9, 2026, 3:43 p.m.