Triple
T34296096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jewish Quarter of Damascus |
E880030
|
entity |
| Predicate | timeOfMajorEmigration |
P175919
|
FINISHED |
| Object | mid-20th century |
—
|
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: mid-20th century | Statement: [Jewish Quarter of Damascus, timeOfMajorEmigration, mid-20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfMajorEmigration Context triple: [Jewish Quarter of Damascus, timeOfMajorEmigration, mid-20th century]
-
A.
yearOfMajorMigration
Indicates the specific year in which a significant migration event involving the subject took place.
-
B.
centuryOfMajorMigration
Indicates the century during which a major migration event involving the entity took place.
-
C.
majorImmigrationPeriod
Indicates that a time interval represents a significant period during which substantial immigration occurred.
-
D.
emigrationDecade
chosen
Indicates the decade during which an entity emigrated from one place to another.
-
E.
hasSignificantEmigrationTo
Indicates that a substantial number of people leave one place, group, or entity to move and settle in another specific place, group, or entity.
- 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_69f349b79f6c81909cb468c92c39c74d |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd5f29b1988190877764ef2a399c7f |
completed | May 8, 2026, 3:57 a.m. |
| PD | Predicate disambiguation | batch_69fd5e30194c819085b5ce586122ab37 |
completed | May 8, 2026, 3:53 a.m. |
Created at: May 1, 2026, 1:57 a.m.