Triple
T33988220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ecclesiastical province of Puebla |
E871468
|
entity |
| Predicate | hasMetropolitanChapter |
P198741
|
FINISHED |
| Object | Cathedral chapter of Puebla |
—
|
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: Cathedral chapter of Puebla | Statement: [Ecclesiastical province of Puebla, hasMetropolitanChapter, Cathedral chapter of Puebla]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMetropolitanChapter Context triple: [Ecclesiastical province of Puebla, hasMetropolitanChapter, Cathedral chapter of Puebla]
-
A.
hasMetropolitanChapterAt
Indicates that an organization or body maintains a metropolitan-level chapter or branch located at a specified place.
-
B.
hasMetropolitan
Indicates that an entity is associated with, served by, or located within a specific metropolitan area.
-
C.
hasMetropolitanStructure
Indicates that an entity possesses or is organized according to a metropolitan-level administrative or urban structural framework.
-
D.
hasMetropolitanSee
Indicates that one ecclesiastical jurisdiction serves as the metropolitan (primary or overseeing) see in relation to another church territory.
-
E.
isMetropolitanFor
Indicates that one entity serves as the primary metropolitan center or urban hub for another entity (such as a region, area, or service).
- 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_69f3499e964c8190b674b03f6f791b4b |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff0214d7348190904688376df99bce |
completed | May 9, 2026, 9:44 a.m. |
| PD | Predicate disambiguation | batch_69feffd62fec8190a855922c8b3c57cf |
completed | May 9, 2026, 9:35 a.m. |
| PDg | Predicate description generation | batch_69ff02141dbc8190b00bcea2aa734b3a |
completed | May 9, 2026, 9:44 a.m. |
Created at: May 1, 2026, 1:50 a.m.