Triple
T2242462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | English Whigs |
E49426
|
entity |
| Predicate | positionOnFrenchRevolution |
P16871
|
FINISHED |
| Object | divided |
—
|
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: divided | Statement: [English Whigs, positionOnFrenchRevolution, divided]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionOnFrenchRevolution Context triple: [English Whigs, positionOnFrenchRevolution, divided]
-
A.
ownerDuringRevolution
Indicates that one entity was the owner of another entity specifically during a defined revolutionary period.
-
B.
restoredMonarchy
Indicates that an entity caused or participated in the re-establishment of a previously abolished or suspended monarchy.
-
C.
FrenchRole
Indicates a role or position that an entity holds specifically within a French context (e.g., in France or related to French institutions, culture, or language).
-
D.
positionOnMonarchy
chosen
Indicates a stance, opinion, or policy position that an entity holds regarding the institution or system of monarchy.
-
E.
roleBeforeQuietRevolution
Indicates that an entity held a particular role or status prior to the Quiet Revolution period.
- 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_69a88aa979788190ad6500f1d8eee2fc |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc0c017548190a71fb4a0e2a8189f |
completed | March 7, 2026, 6:08 a.m. |
| PD | Predicate disambiguation | batch_69abbdb160248190aa75b38f11ad8602 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:47 p.m.