Triple
T9418770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Birth of Bahá'u'lláh |
E227094
|
entity |
| Predicate | communityActivities |
P47326
|
FINISHED |
| Object | festive gatherings |
—
|
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: festive gatherings | Statement: [Birth of Bahá'u'lláh, communityActivities, festive gatherings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: communityActivities Context triple: [Birth of Bahá'u'lláh, communityActivities, festive gatherings]
-
A.
communityOrganizations
Indicates that there is an association or involvement between entities and one or more community-based organizations or groups.
-
B.
communityService
chosen
Indicates participation in activities intended to benefit or support a community, typically performed voluntarily or as a civic responsibility.
-
C.
civicActivity
Indicates participation in or performance of activities related to civic engagement, public service, or community involvement.
-
D.
communityType
Indicates the classification or category of community to which an entity belongs (e.g., urban, rural, online, professional).
-
E.
communityAspect
Indicates that something pertains to, reflects, or influences the communal or social dimension of a group or community.
- 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_69ca84359e7c819091148ba4b670e436 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd68cd1e3481909abcb715e2398120 |
completed | April 1, 2026, 6:49 p.m. |
| PD | Predicate disambiguation | batch_69cca550777c819094e1851a6127cbbc |
completed | April 1, 2026, 4:55 a.m. |
Created at: March 30, 2026, 7:48 p.m.