Triple
T31771129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chaldoran |
E810940
|
entity |
| Predicate | hasReligionSiteNearby |
P916
|
FINISHED |
| Object | St. Thaddeus Monastery |
E232119
|
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: St. Thaddeus Monastery | Statement: [Chaldoran, hasReligionSiteNearby, St. Thaddeus Monastery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReligionSiteNearby Context triple: [Chaldoran, hasReligionSiteNearby, St. Thaddeus Monastery]
-
A.
nearReligiousSite
Indicates that one entity is located close to or in the immediate vicinity of a religious site.
-
B.
hasReligiousSite
chosen
Indicates that a location or entity possesses, contains, or is associated with a religious site such as a temple, church, mosque, shrine, or similar place of worship.
-
C.
religiousTextAssociationNearby
Indicates a spatial relationship where a religious text or related object is located close to or in the immediate vicinity of another entity.
-
D.
hasNearbyPilgrimageSite
Indicates that one entity is located close to a place used as a pilgrimage site for religious or spiritual journeys.
-
E.
traditionalReligionPlace
Indicates that a place is traditionally associated with the practice, worship, or activities of a particular religion.
- 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_69f348e463e08190b902d4819195e1f0 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a019dfc69fc8190b0d80279a6216ba7 |
completed | May 11, 2026, 9:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2d9d5058a48190b21b7ff16fb16c3a |
completed | June 13, 2026, 6:11 p.m. |
| PD | Predicate disambiguation | batch_6a019d54586c81908292d4880db9fad2 |
completed | May 11, 2026, 9:11 a.m. |
Created at: April 30, 2026, 11:33 p.m.