Triple
T27379789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Francis Stephen of Lorraine |
E691185
|
entity |
| Predicate | endTime (Duke of Lorraine) |
P167758
|
FINISHED |
| Object | 1737 |
—
|
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: 1737 | Statement: [Francis Stephen of Lorraine, endTime (Duke of Lorraine), 1737]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endTime (Duke of Lorraine) Context triple: [Francis Stephen of Lorraine, endTime (Duke of Lorraine), 1737]
-
A.
endTime (Archbishop of Mechelen-Brussels)
Indicates the point in time at which a person’s tenure as Archbishop of Mechelen-Brussels concludes.
-
B.
reignAsDukeOfLorraineEnd
chosen
Indicates the time or event at which an individual’s tenure or rule as Duke of Lorraine comes to an end.
-
C.
startTime (Duke of Bavaria)
Indicates the point in time at which the person began holding the title or office of Duke of Bavaria.
-
D.
endTime (rule of Provence)
Indicates the point in time at which the rule of Provence comes to an end.
-
E.
reignEndAsHighDuke
Indicates the point in time or event at which an individual’s tenure or rule as High Duke comes to an end.
- 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_69ef52022538819081f873d0c84a6dd6 |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69f707f7959881908f037f0d6b1d0c36 |
completed | May 3, 2026, 8:31 a.m. |
| PD | Predicate disambiguation | batch_69f700fc274c8190a128593dc7c7abd0 |
completed | May 3, 2026, 8:02 a.m. |
Created at: April 27, 2026, 12:22 p.m.