Triple
T13195079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eparchy of Muvattupuzha |
E314090
|
entity |
| Predicate | primaryPastoralLanguage |
P93029
|
FINISHED |
| Object | Malayalam |
—
|
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: Malayalam | Statement: [Eparchy of Muvattupuzha, primaryPastoralLanguage, Malayalam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryPastoralLanguage Context triple: [Eparchy of Muvattupuzha, primaryPastoralLanguage, Malayalam]
-
A.
primaryLanguageOf
Indicates that a specified language is the main or official language used by a particular entity (such as a person, organization, or region).
-
B.
isSpokenPrimarilyByTribalCommunities
Indicates that a language is used mainly as the primary means of communication by tribal or indigenous communities.
-
C.
primaryLanguageVariety
Indicates the main dialect or specific variety of a language that an entity primarily uses.
-
D.
languageOfPrimaryCult
Indicates that a specified language is the main or dominant language used in a particular cult’s primary religious practices or rituals.
-
E.
primaryLanguageIn
chosen
Indicates that a specified language is the main or official language used within a particular place, organization, or 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_69d806ae1e08819090d95bfe1538cc17 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf054f88190b05ced98d5a22a62 |
completed | April 10, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69d98bc6bc108190b5a6a265bf6e9fd4 |
completed | April 10, 2026, 11:46 p.m. |
Created at: April 9, 2026, 9:16 p.m.