Triple
T8307210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mandaic alphabet |
E194491
|
entity |
| Predicate | communityStatus |
P33827
|
FINISHED |
| Object | used by a minority religious community |
—
|
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: used by a minority religious community | Statement: [Mandaic alphabet, communityStatus, used by a minority religious community]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: communityStatus Context triple: [Mandaic alphabet, communityStatus, used by a minority religious community]
-
A.
statusOfCommunity
chosen
Indicates the current condition, state, or standing of a community at a given point in time.
-
B.
communityAspect
Indicates that something pertains to, reflects, or influences the communal or social dimension of a group or community.
-
C.
communityType
Indicates the classification or category of community to which an entity belongs (e.g., urban, rural, online, professional).
-
D.
communityUsage
Indicates how something is used, adopted, or engaged with by a particular community or group of people.
-
E.
communityService
Indicates participation in activities intended to benefit or support a community, typically performed voluntarily or as a civic responsibility.
- 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_69ca82e613e88190bf8139669bbd0d53 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7f2a86bc81909749c40c640aa9f8 |
completed | March 31, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69cb70bb3a708190bc705222092da614 |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 5:54 p.m.