Triple
T32566250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nerl River |
E832372
|
entity |
| Predicate | hasReligiousLandmarkNearby |
P29505
|
FINISHED |
| Object | Church of the Intercession on the Nerl |
E1147797
|
NE 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: Church of the Intercession on the Nerl | Statement: [Nerl River, hasReligiousLandmarkNearby, Church of the Intercession on the Nerl]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReligiousLandmarkNearby Context triple: [Nerl River, hasReligiousLandmarkNearby, Church of the Intercession on the Nerl]
-
A.
hasNearbyPilgrimageSite
Indicates that one entity is located close to a place used as a pilgrimage site for religious or spiritual journeys.
-
B.
nearReligiousSite
chosen
Indicates that one entity is located close to or in the immediate vicinity of a religious site.
-
C.
hasReligiousBuildingAlong
Indicates that a religious building is located along the course, path, or extent of the referenced entity.
-
D.
hasStupaNearby
Indicates that one entity is located in proximity to a stupa associated with another entity.
-
E.
nearbyRoyalSite
Indicates that one place or object is located close to a site associated with royalty, such as a palace, castle, or royal residence.
- F. None of above.
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_69f34927bb308190ad94da1b11cad13c |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a02ff7de1d881909c29729f2a771381 |
completed | May 12, 2026, 10:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a34c65e539c8190acdcbbf19ce3c554 |
completed | June 19, 2026, 4:32 a.m. |
| PD | Predicate disambiguation | batch_6a02fd1c45c48190bf9dbd91acaeee9f |
completed | May 12, 2026, 10:12 a.m. |
Created at: May 1, 2026, 1:03 a.m.