Triple
T23356632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bethany Beyond the Jordan |
E593067
|
entity |
| Predicate | hasNearbyReligiousStructures |
P29505
|
FINISHED |
| Object | modern churches |
—
|
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: modern churches | Statement: [Bethany Beyond the Jordan, hasNearbyReligiousStructures, modern churches]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyReligiousStructures Context triple: [Bethany Beyond the Jordan, hasNearbyReligiousStructures, modern churches]
-
A.
nearReligiousSite
chosen
Indicates that one entity is located close to or in the immediate vicinity of a religious site.
-
B.
hasNearbyCivicBuilding
Indicates that one entity is located close to, or in the immediate vicinity of, a civic building such as a government, public service, or community facility.
-
C.
hasNearbyCulturalBuilding
Indicates that one entity is located close to another entity that is a cultural building, such as a museum, theater, or gallery.
-
D.
isMajorReligiousBuildingOf
Indicates that a building serves as the primary or most significant religious structure associated with a particular religious group, institution, or area.
-
E.
hasReligiousBuildingDensity
Indicates the degree to which religious buildings are concentrated within a given area or region.
- 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_69e25d24d2a4819092e6ede74c2a918d |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19a18996c81909c7ad15cde616553 |
completed | April 29, 2026, 5:41 a.m. |
| PD | Predicate disambiguation | batch_69effcfd8d288190937a887fe6023c11 |
completed | April 28, 2026, 12:19 a.m. |
Created at: April 17, 2026, 5:28 p.m.