Triple
T34525650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diocese of Macao |
E886391
|
entity |
| Predicate | originalMetropolitanSee |
P132356
|
FINISHED |
| Object | Archdiocese of Goa |
E254318
|
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: Archdiocese of Goa | Statement: [Diocese of Macao, originalMetropolitanSee, Archdiocese of Goa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalMetropolitanSee Context triple: [Diocese of Macao, originalMetropolitanSee, Archdiocese of Goa]
-
A.
formerMetropolitanSee
chosen
Indicates that a location once served as the seat of a metropolitan bishop or archbishop but no longer holds that ecclesiastical status.
-
B.
metropolitanSee
Indicates a relationship where one metropolitan area views, oversees, or conceptually regards another place, entity, or aspect within its sphere of influence.
-
C.
metropolitanSeeTakenFrom
Indicates that a view or image of a metropolitan area is captured from a particular vantage point or location.
-
D.
metropolitanOf
Indicates that one place serves as the primary metropolitan center or core urban area for another place or region.
-
E.
metropolitanSeeEstablishedIn
Indicates that a metropolitan see (archdiocesan jurisdiction) was formally established in a specified year or time period.
- 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_69f349cd7c148190aa99192b126d1527 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a37a8990e9c8190a4f260b56b48eb82 |
completed | June 21, 2026, 9:02 a.m. |
| PD | Predicate disambiguation | batch_6a0379fbe4a08190bfe65ebd141164e9 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 2:02 a.m.