Triple
T18558609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heerlen |
E453569
|
entity |
| Predicate | hasRegionalBrand |
P43641
|
FINISHED |
| Object | Parkstad |
—
|
NE NERFINISHED |
How this triple was built (4 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: Parkstad | Statement: [Heerlen, hasRegionalBrand, Parkstad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Parkstad Context triple: [Heerlen, hasRegionalBrand, Parkstad]
-
A.
Stad
Stad is a coastal municipality and peninsula in Vestland county, Norway, known for its exposed headland and hazardous maritime waters.
-
B.
Quadratestadt
Quadratestadt is the German nickname for the city of Mannheim, referring to its distinctive grid-like layout of city blocks.
-
C.
Gup City
Gup City is a fantastical, talkative metropolis of light and open debate in Salman Rushdie’s novel "Haroun and the Sea of Stories."
-
D.
Lichtstad
Lichtstad is the Dutch nickname for the city of Eindhoven, reflecting its historic association with the lighting industry and companies like Philips.
-
E.
Sheger City
Sheger City is a newly established administrative city in Ethiopia that encompasses parts of Addis Ababa and its surroundings, serving as a growing political and cultural hub.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Parkstad Target entity description: Parkstad is a regional urban area in the southeastern Netherlands centered around Heerlen, known for its post-industrial redevelopment and cross-municipal cooperation.
-
A.
Stad
Stad is a coastal municipality and peninsula in Vestland county, Norway, known for its exposed headland and hazardous maritime waters.
-
B.
Quadratestadt
Quadratestadt is the German nickname for the city of Mannheim, referring to its distinctive grid-like layout of city blocks.
-
C.
Gup City
Gup City is a fantastical, talkative metropolis of light and open debate in Salman Rushdie’s novel "Haroun and the Sea of Stories."
-
D.
Lichtstad
Lichtstad is the Dutch nickname for the city of Eindhoven, reflecting its historic association with the lighting industry and companies like Philips.
-
E.
Sheger City
Sheger City is a newly established administrative city in Ethiopia that encompasses parts of Addis Ababa and its surroundings, serving as a growing political and cultural hub.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRegionalBrand Context triple: [Heerlen, hasRegionalBrand, Parkstad]
-
A.
hasGlobalBrand
Indicates that an entity possesses a brand that is recognized and operates across multiple countries or worldwide.
-
B.
brandingRegion
Indicates the geographic or market area in which a particular brand identity, presentation, or strategy is applied or recognized.
-
C.
operatesBrandInRegion
Indicates that an entity manages or runs a specific brand within a particular geographic region.
-
D.
hasTourismRegionBrand
chosen
Indicates that an entity is associated with or belongs to a specific tourism region brand used for destination marketing or regional tourism identity.
-
E.
hasMarketingRegion
Indicates that an entity is associated with or assigned to a specific marketing region for targeting, management, or analysis purposes.
- 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_69d8d388b0c881908e610a1c45b52640 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53808c3fc8190aac38b29296cee13 |
completed | April 19, 2026, 8:16 p.m. |
| PD | Predicate disambiguation | batch_69e469e274a48190a570b25cfef4d890 |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 11:41 a.m.