Triple
T19871170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | English-speaking Wales |
E477518
|
entity |
| Predicate | religiousLifeLanguageDominant |
P3115
|
FINISHED |
| Object | English |
—
|
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: English | Statement: [English-speaking Wales, religiousLifeLanguageDominant, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religiousLifeLanguageDominant Context triple: [English-speaking Wales, religiousLifeLanguageDominant, English]
-
A.
languageOfReligiousLife
Indicates the language primarily used in the religious practices, rituals, or spiritual life associated with an entity.
-
B.
languageOfWorship
chosen
Indicates the language in which religious worship, rituals, or liturgical practices are conducted.
-
C.
laterReligionDominant
Indicates that a religion adopted or followed at a later time becomes the dominant or primary religion in the relevant context or entity.
-
D.
dominantReligion
Indicates the religion that holds primary or majority status within a given group, region, or entity.
-
E.
languageOfDevotees
Indicates the language commonly used or spoken by a group of devotees in their religious or devotional practices.
- 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_69d8e51e7d948190aedbcd6c30361c39 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e658a3d2b08190ad81914d4860df0e |
completed | April 20, 2026, 4:47 p.m. |
| PD | Predicate disambiguation | batch_69e537e8c4e481909fe95d795b4864e7 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:51 p.m.