Triple
T38412880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uvea Island |
E901524
|
entity |
| Predicate | hasMainReligionOrganization |
P22135
|
FINISHED |
| Object | Roman Catholic Church |
E384
|
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: Roman Catholic Church | Statement: [Uvea Island, hasMainReligionOrganization, Roman Catholic Church]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMainReligionOrganization Context triple: [Uvea Island, hasMainReligionOrganization, Roman Catholic Church]
-
A.
hasReligiousOrganization
chosen
Indicates that an entity is associated with, governed by, or belongs to a specific religious organization.
-
B.
hasMainReligionContext
Indicates that one entity serves as the primary religious context, tradition, or framework associated with another entity.
-
C.
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.
-
D.
hostReligion
Indicates that an entity organizes, accommodates, or provides a venue for a particular religious group, event, or practice.
-
E.
hasAssociatedReligion
Indicates that an entity is connected with or linked to 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_69f76e61e79c81908b787d83b46ab92b |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a41b2acf9f08190a8334729b9df8665 |
completed | June 28, 2026, 11:47 p.m. |
| PD | Predicate disambiguation | batch_6a037a1c850c819088795a7ae59bdeb8 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:31 p.m.