Triple
T23572406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | cult of Saint Thomas Becket |
E580149
|
entity |
| Predicate | hasLanguageOfDevotion |
P3115
|
FINISHED |
| Object | Middle 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: Middle English | Statement: [cult of Saint Thomas Becket, hasLanguageOfDevotion, Middle English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLanguageOfDevotion Context triple: [cult of Saint Thomas Becket, hasLanguageOfDevotion, Middle English]
-
A.
languageOfDevotees
Indicates the language commonly used or spoken by a group of devotees in their religious or devotional practices.
-
B.
languageOfWorship
chosen
Indicates the language in which religious worship, rituals, or liturgical practices are conducted.
-
C.
devotionPracticedBy
Indicates that a particular form of devotion, worship, or religious practice is performed or carried out by a specified agent or practitioner.
-
D.
isDevotedTo
Indicates a strong, enduring commitment or dedication that one entity directs toward another.
-
E.
devotionalLanguageType
Indicates the type or category of language used in a devotional or religious context.
- 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_69e24601a9108190bc31e83833c980e4 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1afd40c9c8190b666a2010d723bf1 |
completed | April 29, 2026, 7:14 a.m. |
| PD | Predicate disambiguation | batch_69f118bcc0b08190b25a8dddfd461a0e |
completed | April 28, 2026, 8:29 p.m. |
Created at: April 17, 2026, 6:37 p.m.