Triple
T19678761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Max Fleischer |
E472523
|
entity |
| Predicate | religiousBuildingSpecialty |
P136522
|
FINISHED |
| Object | Jewish synagogues |
—
|
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: Jewish synagogues | Statement: [Max Fleischer, religiousBuildingSpecialty, Jewish synagogues]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religiousBuildingSpecialty Context triple: [Max Fleischer, religiousBuildingSpecialty, Jewish synagogues]
-
A.
religiousBuildingInstanceOf
Indicates that a specific religious building is an instance of a particular class or type of religious building.
-
B.
religiousSceneSpecialization
Indicates a relationship where a scene is specifically characterized or classified by a particular religious theme, context, or function.
-
C.
religiousBuildingDedicatedTo
Indicates that a religious building is formally dedicated or consecrated to a particular deity, figure, or religious concept.
-
D.
inReligiousStructure
Indicates that one entity is located within or inside a building or structure used for religious purposes.
-
E.
religiousBuildingManaged
Indicates that one entity is responsible for overseeing, operating, or administering a religious building associated with another entity.
- 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_69d8e514f2e08190ba70a4449519d218 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e641bda8348190b0c7816c50aca923 |
completed | April 20, 2026, 3:09 p.m. |
| PD | Predicate disambiguation | batch_69e514eb37b8819091502cc954f70eba |
completed | April 19, 2026, 5:46 p.m. |
| PDg | Predicate description generation | batch_69e5174b060c81908937ff9ff7fce611 |
completed | April 19, 2026, 5:56 p.m. |
Created at: April 10, 2026, 1:45 p.m.