Triple
T9082084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antoine Joseph Santerre |
E217652
|
entity |
| Predicate | citizenshipEndCause |
P49962
|
FINISHED |
| Object | death |
—
|
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: death | Statement: [Antoine Joseph Santerre, citizenshipEndCause, death]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: citizenshipEndCause Context triple: [Antoine Joseph Santerre, citizenshipEndCause, death]
-
A.
citizenshipChangeReason
chosen
Indicates the reason or cause for a change in an entity’s citizenship status.
-
B.
citizenshipRevokedBy
Indicates that an entity’s citizenship was formally withdrawn or canceled by another specified authority or agent.
-
C.
renouncedCitizenship
Indicates that an individual has formally given up or relinquished their legal citizenship status in a particular country.
-
D.
formerCitizenship
Indicates that an entity previously held, but no longer holds, citizenship in a specified country or state.
-
E.
mayLoseCitizenshipBy
Indicates that an entity is at risk of losing its citizenship as a consequence of a specified condition, action, or circumstance.
- 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_69ca83d7a0388190ba1af89ed7ba36f9 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc9608a82481908918821884ba5796 |
completed | April 1, 2026, 3:50 a.m. |
| PD | Predicate disambiguation | batch_69cc65fa79bc81908b46f05c8bba920f |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:13 p.m.