Triple
T987594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flanders |
E21312
|
entity |
| Predicate | hasOfficialReligion |
P645
|
FINISHED |
| Object | none (secular state) |
—
|
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: none (secular state) | Statement: [Flanders, hasOfficialReligion, none (secular state)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOfficialReligion Context triple: [Flanders, hasOfficialReligion, none (secular state)]
-
A.
officialReligion
chosen
Indicates that a particular religion is formally recognized and designated as the official or state religion of an entity (such as a country or region).
-
B.
dominantReligion
Indicates the religion that holds primary or majority status within a given group, region, or entity.
-
C.
dominantReligionPolicy
Indicates the policy or stance an authority adopts toward the religion that holds dominant or majority status within a given context.
-
D.
legalStatusOfReligion
Indicates the formal legal standing, recognition, and regulatory conditions of a religion within a given jurisdiction or political entity.
-
E.
foundedReligion
Indicates that an entity established or originated a particular religion.
- 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_69a493c383dc8190a03257f22d4b4183 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b4a7754c8190a10ba0587bd8323d |
completed | March 1, 2026, 9:50 p.m. |
| PD | Predicate disambiguation | batch_69a4b2abccbc8190a83af432f89eacf5 |
completed | March 1, 2026, 9:42 p.m. |
Created at: March 1, 2026, 7:41 p.m.