Triple
T17384327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Galicia Jewish Museum |
E422648
|
entity |
| Predicate | situatedInHistoricJewishQuarter |
P82488
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Galicia Jewish Museum, situatedInHistoricJewishQuarter, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: situatedInHistoricJewishQuarter Context triple: [Galicia Jewish Museum, situatedInHistoricJewishQuarter, true]
-
A.
isLocatedInHistoricSquare
Indicates that an entity is situated within a square that is recognized as historically significant.
-
B.
isInHistoricCenterOf
Indicates that one entity is located within the historic center area of another entity (typically a city or town).
-
C.
Warsaw Old Town
Indicates the relationship of being located in or associated with the historic central district known as Warsaw Old Town.
-
D.
hasMonumentInCenter
Indicates that a place or area has a monument located at its central point or main focal area.
-
E.
situatedInQuarter
chosen
Indicates that one entity is located within or belongs to a specific quarter or district of a larger area.
- 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_69d889d710288190bf0f4762801fefae |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a88b32481909b120349e169c670 |
completed | April 19, 2026, 2:14 a.m. |
| PD | Predicate disambiguation | batch_69e3b02ac8688190a7182f1b2151d721 |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:45 a.m.