Triple
T9418786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Birth of Bahá'u'lláh |
E227094
|
entity |
| Predicate | connectedToBahaiHistoryEvent |
P2107
|
FINISHED |
| Object | birth of Bahá'u'lláh in 1817 |
—
|
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: birth of Bahá'u'lláh in 1817 | Statement: [Birth of Bahá'u'lláh, connectedToBahaiHistoryEvent, birth of Bahá'u'lláh in 1817]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectedToBahaiHistoryEvent Context triple: [Birth of Bahá'u'lláh, connectedToBahaiHistoryEvent, birth of Bahá'u'lláh in 1817]
-
A.
associatedWithReligiousEvent
Indicates a relationship where something is connected or related to a specific religious event or ceremony.
-
B.
hasHistoricalEvent
chosen
Indicates that a historical event occurred in, is associated with, or is relevant to a particular entity.
-
C.
historicallyAttendedBy
Indicates that an entity has been attended by another entity at some point in the past, rather than in the present.
-
D.
historicalEventWitnessed
Indicates that an entity personally observed or was present at a particular historical event.
-
E.
associatedBiblicalEvent
Indicates that there is a connection or linkage between an entity and a specific event described in the Bible.
- 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.