Triple
T36724551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roman Catholic Archdiocese of Lingayen–Dagupan |
E907156
|
entity |
| Predicate | formerCityOfSee |
P202697
|
FINISHED |
| Object | Lingayen |
—
|
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: Lingayen | Statement: [Roman Catholic Archdiocese of Lingayen–Dagupan, formerCityOfSee, Lingayen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerCityOfSee Context triple: [Roman Catholic Archdiocese of Lingayen–Dagupan, formerCityOfSee, Lingayen]
-
A.
formerMetropolitanSee
Indicates that a location once served as the seat of a metropolitan bishop or archbishop but no longer holds that ecclesiastical status.
-
B.
formerCityName
Indicates that an entity was previously known by a different city name in the past.
-
C.
cityOfSee
Indicates the city in which a particular episcopal see (bishopric or diocesan seat) is located.
-
D.
formerCity
Indicates that an entity was once recognized as a city but no longer holds that status.
-
E.
formerCapitalOf
Indicates that a place once served as the capital of another entity (such as a country or region) but no longer holds that status.
- 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_69f76e746e4c8190a0d05cc6d57a643e |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a00ada2903481908b28ce55ef97a6c2 |
completed | May 10, 2026, 4:09 p.m. |
| PD | Predicate disambiguation | batch_6a00ad5d23788190b3f9e2de761d39bb |
completed | May 10, 2026, 4:07 p.m. |
| PDg | Predicate description generation | batch_6a00ada1f3588190a7138e9f9afb9a6b |
completed | May 10, 2026, 4:09 p.m. |
Created at: May 3, 2026, 4:12 p.m.