Triple
T10079845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fille de France |
E213870
|
entity |
| Predicate | ceasesOn |
P70625
|
FINISHED |
| Object | extinction of the French monarchy |
—
|
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: extinction of the French monarchy | Statement: [Fille de France, ceasesOn, extinction of the French monarchy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ceasesOn Context triple: [Fille de France, ceasesOn, extinction of the French monarchy]
-
A.
terminatesOn
Indicates that one process, event, or state causes or marks the ending of another at a specific time or condition.
-
B.
stoppedAt
Indicates that an entity has come to a halt or pause at a specific location or point in time.
-
C.
typicallyEndsAt
Indicates that an event, process, or activity most commonly or usually concludes at a particular time, place, or state.
-
D.
statusEndsWhen
chosen
Indicates that a particular status or condition ceases to hold when a specified event, time, or state occurs.
-
E.
endOf
Indicates that one entity marks the terminating point or final boundary of another entity, event, or interval.
- 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_69ca839bf730819086900c323c9b8c95 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd031ce748190bb71189afd331979 |
completed | April 2, 2026, 2:10 a.m. |
| PD | Predicate disambiguation | batch_69cd4b97870481908f7a89df10d58a9e |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 9 p.m.