Triple
T36277685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catholic Church in India |
E892851
|
entity |
| Predicate | hasLatinMetropolitanSee |
P200743
|
FINISHED |
| Object | Archdiocese of Bombay |
—
|
NE NERFINISHED |
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: Archdiocese of Bombay | Statement: [Catholic Church in India, hasLatinMetropolitanSee, Archdiocese of Bombay]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLatinMetropolitanSee Context triple: [Catholic Church in India, hasLatinMetropolitanSee, Archdiocese of Bombay]
-
A.
isMetropolitanOf
Indicates that one entity is the primary metropolitan area or major urban center associated with another entity, such as a region, country, or administrative division.
-
B.
metropolitanOf
Indicates that one place serves as the primary metropolitan center or core urban area for another place or region.
-
C.
hasLatinHierarchyCenter
Indicates that an entity has a central or primary position within a Latin-based hierarchical structure.
-
D.
metropolitanAreaWith
Indicates that one entity is a metropolitan area that includes, is associated with, or encompasses the other entity.
-
E.
hasMetropolitanAreaName
Indicates that an entity is associated with a metropolitan area identified by a specific name.
- F. None of above. chosen
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_69f76e488f34819083e254dbe288c27a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ffaa7bc45c8190b907db8579244a7b |
completed | May 9, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69ffa9f6c9a481908fbd4d18b311cbe2 |
completed | May 9, 2026, 9:41 p.m. |
| PDg | Predicate description generation | batch_69ffaa7af814819095ed51ea1989ff14 |
completed | May 9, 2026, 9:43 p.m. |
Created at: May 3, 2026, 4:09 p.m.