Triple
T13506271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Genevois historical region |
E321021
|
entity |
| Predicate | hasSharedPoliticalHistory |
P7843
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Genevois historical region, hasSharedPoliticalHistory, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSharedPoliticalHistory Context triple: [Genevois historical region, hasSharedPoliticalHistory, true]
-
A.
hasSharedBorderHistoryWith
Indicates that two entities have a history of sharing a common border or boundary at some point in time.
-
B.
hasSharedColonialHistory
Indicates that the related entities were subject to, or part of, the same colonial power or colonial system during a historical period.
-
C.
hasPoliticalAlly
Indicates that one entity supports and cooperates with another in a political context, treating them as an ally in political activities or objectives.
-
D.
hasHistoricalPolity
Indicates a relationship where an entity is associated with a political unit or state that existed in the past.
-
E.
hasHistoricalTieTo
chosen
Indicates a relationship where one entity is historically connected or linked to another through past events, associations, or influences.
- 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf8259a08190ada13c4a3078f07d |
completed | April 12, 2026, 2:43 p.m. |
| PD | Predicate disambiguation | batch_69dbae0b63748190b5e207f84b2532ea |
completed | April 12, 2026, 2:36 p.m. |
Created at: April 9, 2026, 9:43 p.m.