Triple
T31780340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ofwegen |
E811182
|
entity |
| Predicate | formerMunicipalityContext |
P5557
|
FINISHED |
| Object | Jacobswoude |
—
|
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: Jacobswoude | Statement: [Ofwegen, formerMunicipalityContext, Jacobswoude]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerMunicipalityContext Context triple: [Ofwegen, formerMunicipalityContext, Jacobswoude]
-
A.
formerCityContext
Indicates that the subject entity was formerly classified or recognized as a city within the specified contextual scope or time frame.
-
B.
containsFormerMunicipality
Indicates that an administrative unit includes within its boundaries an area that was previously an independent municipality.
-
C.
formerMunicipalityOf
chosen
Indicates that an entity was previously an independent municipality that has since been merged into or replaced by the referenced municipality.
-
D.
formerMunicipalityType
Indicates that an entity was previously classified as a specific type of municipality but no longer holds that municipal status.
-
E.
previousMunicipalityNameVariant
Indicates that an entity had a different municipality name in the past, specifying a former variant of its municipal designation.
- 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_69f348e544a48190ab6e700b05f6438c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69ff4de66ba481908e7184b3cf9d4d2d |
completed | May 9, 2026, 3:08 p.m. |
| PD | Predicate disambiguation | batch_69ff4c702a5881909c6684c74807e945 |
completed | May 9, 2026, 3:02 p.m. |
Created at: April 30, 2026, 11:36 p.m.