Triple
T8406679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Æthelred, Lord of the Mercians |
E198516
|
entity |
| Predicate | officeEndApproximate |
P81829
|
FINISHED |
| Object | 911 |
—
|
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: 911 | Statement: [Æthelred, Lord of the Mercians, officeEndApproximate, 911]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeEndApproximate Context triple: [Æthelred, Lord of the Mercians, officeEndApproximate, 911]
-
A.
officeEnded
Indicates that a person’s term in an office or position has concluded at a specified time or under certain conditions.
-
B.
officeEndTime (Administrator of UNDP)
Indicates the time at which the Administrator of UNDP’s term in office concludes.
-
C.
officeStartAfter
Indicates that one entity’s term or period in office begins after another specified time or event.
-
D.
officeEndTime (RNC Chair)
Indicates the time at which the RNC Chair’s term in office concludes.
-
E.
officeEndStatementFor
Indicates that a statement specifies the ending time or conditions of an office or term for a particular entity.
- F. None of above. chosen
Provenance (4 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_69ca8310df9c8190b25f16161cca3e41 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb831409308190981089c303ebaef4 |
completed | March 31, 2026, 8:17 a.m. |
| PD | Predicate disambiguation | batch_69cb70d473dc8190af8ea81ee5aa970d |
completed | March 31, 2026, 6:59 a.m. |
| PDg | Predicate description generation | batch_69cb76da264881909483b835e1db06da |
completed | March 31, 2026, 7:25 a.m. |
Created at: March 30, 2026, 6:05 p.m.