Triple
T31248821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | חברון |
E796758
|
entity |
| Predicate | hasJewishQuarter |
P91263
|
FINISHED |
| Object | היישוב היהודי בחברון |
—
|
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: היישוב היהודי בחברון | Statement: [חברון, hasJewishQuarter, היישוב היהודי בחברון]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasJewishQuarter Context triple: [חברון, hasJewishQuarter, היישוב היהודי בחברון]
-
A.
hasSignificantJewishCommunity
Indicates that a place or entity possesses a notably large, influential, or historically important Jewish community.
-
B.
hasJewishCommunityHistory
chosen
Indicates that there is a documented history of a Jewish community being present, active, or influential in relation to the subject.
-
C.
hasJewishInstitution
Indicates that a place, organization, or entity possesses, hosts, or is associated with a Jewish religious, cultural, or educational institution.
-
D.
hadSignificantJewishPopulationBeforeWorldWarII
Indicates that the subject place or region had a notably large or influential Jewish community prior to the outbreak of World War II.
-
E.
hasSynagogueHistory
Indicates that there exists a historical relationship or record connecting an entity to a synagogue, such as past ownership, use, events, or significance.
- 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_69f224dc84d0819081f1cb6f9127e6b1 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69edbb7648190bd89c57e0932eac1 |
completed | May 3, 2026, 1:03 a.m. |
| PD | Predicate disambiguation | batch_69f69d1bf8cc8190a78dfa5ab00daf3a |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 29, 2026, 9:11 p.m.