Triple
T10711025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charlotte of Belgium |
E252534
|
entity |
| Predicate | startTime (Empress of Mexico) |
P95597
|
FINISHED |
| Object | 1864-06-10 |
—
|
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: 1864-06-10 | Statement: [Charlotte of Belgium, startTime (Empress of Mexico), 1864-06-10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTime (Empress of Mexico) Context triple: [Charlotte of Belgium, startTime (Empress of Mexico), 1864-06-10]
-
A.
startTime (position: First Lady of Mexico)
Indicates the date and time at which a person begins serving in the role of First Lady of Mexico.
-
B.
endTime (position: First Lady of Mexico)
Indicates the point in time at which an individual’s tenure as First Lady of Mexico concludes.
-
C.
officeStartTime (President of Mexico)
Indicates the time at which the President of Mexico officially begins their term in office.
-
D.
startTime (U.S. Secretary of State)
Indicates the point in time when an individual began serving as U.S. Secretary of State.
-
E.
startTime (Duke of Saxony)
Indicates the point in time at which the individual became the Duke of Saxony.
- 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_69d6aa5cbabc8190973e683950d89faf |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fe523de08190a82c8f057fe8baf6 |
completed | April 9, 2026, 1:18 a.m. |
| PD | Predicate disambiguation | batch_69d6f30455888190b77f476b8418eaee |
completed | April 9, 2026, 12:29 a.m. |
| PDg | Predicate description generation | batch_69d6fa323564819097b207eb53f8a9b8 |
completed | April 9, 2026, 1 a.m. |
Created at: April 8, 2026, 9:13 p.m.