Triple
T16665453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cartago |
E404970
|
entity |
| Predicate | religionImportantSiteFor |
P57618
|
FINISHED |
| Object | Roman Catholicism |
—
|
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: Roman Catholicism | Statement: [Cartago, religionImportantSiteFor, Roman Catholicism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religionImportantSiteFor Context triple: [Cartago, religionImportantSiteFor, Roman Catholicism]
-
A.
isPlaceOfPilgrimageFor
chosen
Indicates that a location serves as a destination for religious or spiritual pilgrimage for a person or group.
-
B.
hasReligiousSite
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.
religiousSiteRank
Indicates the hierarchical or status-based rank assigned to a religious site within a religious or organizational structure.
-
D.
religiousSiteType
Indicates the specific kind or category of religious site associated with an entity (e.g., church, mosque, temple).
-
E.
holiestSiteIn
Indicates that a site is considered the most sacred or religiously significant location within a particular place 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_69d8838b5fbc81908c6575c132b82e80 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37c9cd7ec819084aa9b2830874bf5 |
completed | April 18, 2026, 12:44 p.m. |
| PD | Predicate disambiguation | batch_69e319b1d7f08190b5ecb4a68c636c15 |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:18 a.m.