Triple
T262523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berlin |
E5567
|
entity |
| Predicate | onRiver |
P165
|
FINISHED |
| Object |
Spree
The Spree is a major river in eastern Germany that flows through the heart of Berlin and is central to the city's landscape and history.
|
E34242
|
NE FINISHED |
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: Spree | Statement: [Berlin, onRiver, Spree]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spree Context triple: [Berlin, onRiver, Spree]
-
A.
Magento
Magento is an open-source e-commerce platform widely used by businesses to build and manage online stores with extensive customization and scalability.
-
B.
Platform 6
Platform 6 is one of the passenger train platforms at Cambridge railway station in Cambridge, England.
-
C.
NetSuite
NetSuite is a cloud-based enterprise resource planning (ERP) and business management software suite widely used by companies to manage finance, operations, and customer relationships.
-
D.
The Shop
The Shop is the historic Royal Military Academy in Woolwich, London, which served as the British Army’s principal training institution for artillery and engineering officers.
-
E.
Zappos
Zappos is a major U.S.-based online retailer best known for its extensive selection of shoes and its customer-centric service culture.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Spree Triple: [Berlin, onRiver, Spree]
Generated description
The Spree is a major river in eastern Germany that flows through the heart of Berlin and is central to the city's landscape and history.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Spree Target entity description: The Spree is a major river in eastern Germany that flows through the heart of Berlin and is central to the city's landscape and history.
-
A.
Magento
Magento is an open-source e-commerce platform widely used by businesses to build and manage online stores with extensive customization and scalability.
-
B.
Platform 6
Platform 6 is one of the passenger train platforms at Cambridge railway station in Cambridge, England.
-
C.
NetSuite
NetSuite is a cloud-based enterprise resource planning (ERP) and business management software suite widely used by companies to manage finance, operations, and customer relationships.
-
D.
The Shop
The Shop is the historic Royal Military Academy in Woolwich, London, which served as the British Army’s principal training institution for artillery and engineering officers.
-
E.
Zappos
Zappos is a major U.S.-based online retailer best known for its extensive selection of shoes and its customer-centric service culture.
- F. None of above. chosen
Provenance (5 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_69a2580a64ac8190ad76e34bb0715b5e |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a260cfb4cc81909771b2d496b84726 |
completed | Feb. 28, 2026, 3:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a38618a6e4819080e2d8ee3d828af7 |
completed | March 1, 2026, 12:19 a.m. |
| NEDg | Description generation | batch_69a387f84b848190abf95906325f7806 |
completed | March 1, 2026, 12:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3884bff5081909785fbc6681bb430 |
completed | March 1, 2026, 12:29 a.m. |
Created at: Feb. 28, 2026, 2:55 a.m.