Triple
T26739762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canton of Appenzell Innerrhoden |
E674213
|
entity |
| Predicate | splitReason |
P19352
|
FINISHED |
| Object | religious differences |
—
|
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: religious differences | Statement: [Canton of Appenzell Innerrhoden, splitReason, religious differences]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: splitReason Context triple: [Canton of Appenzell Innerrhoden, splitReason, religious differences]
-
A.
reasonForSplit
chosen
Indicates the cause, motivation, or circumstance that led to a separation or breakup between entities.
-
B.
commonSplit
Indicates that multiple entities share a common point or manner of division into parts.
-
C.
splits
Indicates that one entity divides another entity into two or more distinct parts or groups.
-
D.
splitWith
Indicates that one entity divides or shares something with another entity.
-
E.
separates
Indicates that one entity divides, parts, or keeps other entities apart from each other.
- 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_69eecda63a3881908095c47900692e65 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f6184770d08190b6cb20a1cc91baf0 |
completed | May 2, 2026, 3:29 p.m. |
| PD | Predicate disambiguation | batch_69f60b8dfa0c8190864e1a940024d0a0 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 27, 2026, 3:48 a.m.