Triple
T14470765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helmholtz Centre for Infection Research |
E358833
|
entity |
| Predicate | hasResearchFacilityIn |
P11730
|
FINISHED |
| Object | Braunschweig |
E72622
|
NE FINISHED |
How this triple was built (3 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: Braunschweig | Statement: [Helmholtz Centre for Infection Research, hasResearchFacilityIn, Braunschweig]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Braunschweig Context triple: [Helmholtz Centre for Infection Research, hasResearchFacilityIn, Braunschweig]
-
A.
Braunschweig
chosen
Braunschweig is a historic city in northern Germany known for its medieval architecture, cultural institutions, and role as an important economic and scientific center.
-
B.
Hildesheim
Hildesheim is a historic city in northern Germany renowned for its medieval architecture and UNESCO-listed Romanesque churches.
-
C.
Bremen
Bremen is a small village in Fairfield County, Ohio, known for its historic charm and tight-knit rural community.
-
D.
Bremen
Bremen is a small city in western Georgia, United States, known as a regional hub along major transportation routes and as part of the Atlanta metropolitan area’s outer region.
-
E.
Bremen
Bremen is a city-state in northwestern Germany comprising the cities of Bremen and Bremerhaven, known for its historic Hanseatic heritage and major port on the Weser River.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasResearchFacilityIn Context triple: [Helmholtz Centre for Infection Research, hasResearchFacilityIn, Braunschweig]
-
A.
hasResearchCentersIn
chosen
Indicates that an entity maintains or operates research centers located within a specified place or region.
-
B.
containsResearchStation
Indicates that one entity geographically includes or hosts a research station within its boundaries.
-
C.
hasResearchCenters
Indicates that an entity possesses, hosts, or is associated with one or more research centers.
-
D.
isScientificCenterFor
Indicates that one entity serves as a primary location or institution dedicated to conducting, coordinating, or supporting scientific research, education, or activities related to another entity.
-
E.
hasNearbyResearchStations
Indicates that one entity has research stations located in close geographical proximity to it.
- F. None of above.
Provenance (4 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_69d827966698819082e140837737501d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91f969788190a5114f92d7159aae |
completed | April 14, 2026, 7:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4c2a938081909ccd9fe7c5021dc6 |
completed | May 9, 2026, 3 p.m. |
| PD | Predicate disambiguation | batch_69de5c42bd3c81909a62acf30cc24d1e |
completed | April 14, 2026, 3:24 p.m. |
Created at: April 10, 2026, 1:20 a.m.