Triple
T30654773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Archdiocese of León |
E780355
|
entity |
| Predicate | provinceIncludesTerritoryIn |
P193608
|
FINISHED |
| Object | state of Guanajuato |
—
|
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: state of Guanajuato | Statement: [Archdiocese of León, provinceIncludesTerritoryIn, state of Guanajuato]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: provinceIncludesTerritoryIn Context triple: [Archdiocese of León, provinceIncludesTerritoryIn, state of Guanajuato]
-
A.
federalTerritory
Indicates that one entity is designated as a federal territory under the jurisdiction or authority of another (typically a federal government or state).
-
B.
currentProvinceOfTerritory
Indicates that a given province is the one that currently has administrative authority over a specified territory.
-
C.
definedTerritoryOf
Indicates that one entity specifies or establishes the official territorial boundaries or jurisdiction of another entity.
-
D.
borderingStateOrTerritory
Indicates that one state or territory shares a common boundary with another state or territory.
-
E.
missionTerritoryOf
Indicates that a specified territory is under the jurisdiction or scope of a particular mission.
- 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_69f224a5d2b481908a6853cd0138e2d7 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fd4d1854988190be093b103a681798 |
completed | May 8, 2026, 2:40 a.m. |
| PD | Predicate disambiguation | batch_69fd4c8d1a188190897c24527337814a |
completed | May 8, 2026, 2:38 a.m. |
| PDg | Predicate description generation | batch_69fd4d16dd20819096957c40f43cd971 |
completed | May 8, 2026, 2:40 a.m. |
Created at: April 29, 2026, 8:30 p.m.