Triple
T23576239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monsey, New York |
E580263
|
entity |
| Predicate | religiousInstitutionTypePresent |
P31566
|
FINISHED |
| Object | synagogue |
—
|
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: synagogue | Statement: [Monsey, New York, religiousInstitutionTypePresent, synagogue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religiousInstitutionTypePresent Context triple: [Monsey, New York, religiousInstitutionTypePresent, synagogue]
-
A.
hasReligiousInstitutionType
chosen
Indicates that an entity is associated with, or classified by, a specific type of religious institution.
-
B.
religiousInstitutionLinked
Indicates that there is an established connection or association between a religious institution and another entity.
-
C.
religiousInstitutionShared
Indicates that two entities are associated with or participate in the same religious institution or organization.
-
D.
isMajorReligiousInstitutionIn
Indicates that a major religious institution (such as a church, mosque, temple, or similar body) is located within or primarily based in a specified place or region.
-
E.
religiousServiceType
Indicates the specific kind or category of religious service associated with an event or context.
- 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_69e24601a9108190bc31e83833c980e4 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1afd6608481909a0d293ba8f65b2b |
completed | April 29, 2026, 7:14 a.m. |
| PD | Predicate disambiguation | batch_69f118bcc0b08190b25a8dddfd461a0e |
completed | April 28, 2026, 8:29 p.m. |
Created at: April 17, 2026, 6:38 p.m.