Triple
T11152650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Navidad, New Spain |
E263824
|
entity |
| Predicate | religionDuringExistence |
P69766
|
FINISHED |
| Object | Roman Catholicism |
—
|
LITERAL 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: Roman Catholicism | Statement: [Navidad, New Spain, religionDuringExistence, Roman Catholicism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religionDuringExistence Context triple: [Navidad, New Spain, religionDuringExistence, Roman Catholicism]
-
A.
religionHistoricallyAssociated
Indicates a historical association between an entity and a particular religion, based on past practice, tradition, or cultural linkage rather than current or official status.
-
B.
religionsPresent
Indicates that one or more religions are present, practiced, or represented in relation to a given entity or context.
-
C.
foundedReligion
Indicates that an entity established or originated a particular religion.
-
D.
hadMajorReligion
chosen
Indicates that a particular religion was the primary or dominant faith practiced within a given entity (such as a region, state, or population) during a specified period.
-
E.
religionAtOrigin
Indicates that an entity had a particular religion or religious affiliation at the time or place of its origin.
- F. None of above.
Provenance (3 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_69d6aa9ccddc8190868998c8b7beb060 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e872ffbc8190b8a3bbd912115342 |
completed | April 9, 2026, 5:57 p.m. |
| PD | Predicate disambiguation | batch_69d75ce71944819089eee9b5c9283cbd |
completed | April 9, 2026, 8:01 a.m. |
Created at: April 8, 2026, 9:28 p.m.