Triple
T31519497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sydlangeland Municipality |
E804165
|
entity |
| Predicate | partOfBefore2007 |
P29195
|
FINISHED |
| Object | Funen County |
—
|
NE NERFINISHED |
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: Funen County | Statement: [Sydlangeland Municipality, partOfBefore2007, Funen County]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfBefore2007 Context triple: [Sydlangeland Municipality, partOfBefore2007, Funen County]
-
A.
usedToBePartOf
chosen
Indicates that an entity was formerly a component or member of another entity but is no longer part of it.
-
B.
regionBefore1996
Indicates that a region existed or was defined prior to the year 1996.
-
C.
statusBefore2010s
Indicates that the status or condition of an entity is evaluated or defined as it was prior to the 2010s.
-
D.
partOfAfter
Indicates that one entity becomes a component or subset of another entity at some point after a specified time or event.
-
E.
formerPart
Indicates that an entity was once a component or member of another entity but is no longer part of it.
- 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_69f348cf839c81908657048402f7f97b |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69ff5803c02c81908b63067119f5e684 |
completed | May 9, 2026, 3:51 p.m. |
| PD | Predicate disambiguation | batch_69ff576d8b308190b49a1e072a0ae661 |
completed | May 9, 2026, 3:49 p.m. |
Created at: April 30, 2026, 9:55 p.m.