Triple
T31633909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portuguese Jewish community of Amsterdam |
E807244
|
entity |
| Predicate | hasMainSynagogue |
P84438
|
FINISHED |
| Object | Portuguese Synagogue |
—
|
NE NERFINISHED |
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: Portuguese Synagogue | Statement: [Portuguese Jewish community of Amsterdam, hasMainSynagogue, Portuguese Synagogue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMainSynagogue Context triple: [Portuguese Jewish community of Amsterdam, hasMainSynagogue, Portuguese Synagogue]
-
A.
mainSynagogue
chosen
Indicates that one entity serves as the primary or principal synagogue associated with another entity (such as a place, community, or organization).
-
B.
hasSynagogueType
Indicates the specific classification or type of synagogue associated with an entity.
-
C.
hasSynagogueHistory
Indicates that there exists a historical relationship or record connecting an entity to a synagogue, such as past ownership, use, events, or significance.
-
D.
hasSynagogueUnion
Indicates that there exists an organizational or formal union connecting one synagogue with another synagogue or group of synagogues.
-
E.
synagogueName
Indicates that one entity is the name or designated title of a synagogue associated with another 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_69f348d892948190915f8facacb9568c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a00332eaa0c8190a69ea895576bb0ee |
completed | May 10, 2026, 7:26 a.m. |
| PD | Predicate disambiguation | batch_6a0032b2ea80819083b89ebb88165933 |
completed | May 10, 2026, 7:24 a.m. |
Created at: April 30, 2026, 10:46 p.m.