Triple
T27309005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steenbergen |
E689148
|
entity |
| Predicate | predecessorMunicipality |
P5557
|
FINISHED |
| Object | Nieuw-Vossemeer |
—
|
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: Nieuw-Vossemeer | Statement: [Steenbergen, predecessorMunicipality, Nieuw-Vossemeer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: predecessorMunicipality Context triple: [Steenbergen, predecessorMunicipality, Nieuw-Vossemeer]
-
A.
formerMunicipalityOf
chosen
Indicates that an entity was previously an independent municipality that has since been merged into or replaced by the referenced municipality.
-
B.
previousMunicipalityNameVariant
Indicates that an entity had a different municipality name in the past, specifying a former variant of its municipal designation.
-
C.
predecessorCityName
Indicates that the value is the name of the city that previously held a given role, status, or position before the current city.
-
D.
predecessorTerritory
Indicates that one territory previously existed in place of, or was succeeded by, another territory in a historical or political sequence.
-
E.
formerMunicipalityNumber
Indicates that an entity was previously assigned a specific official municipality identification number before administrative or territorial changes.
- 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_69ef355b931c8190a63cafaf7bcc008b |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69f6b903538481909cffcb6cc1cc0e70 |
completed | May 3, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69f6b626120c819097c9ad04487570d7 |
completed | May 3, 2026, 2:42 a.m. |
Created at: April 27, 2026, 11:26 a.m.