Triple
T1421610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North German Plain |
E30236
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | Spree |
E34242
|
NE FINISHED |
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: Spree | Statement: [North German Plain, hasRiver, Spree]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spree Context triple: [North German Plain, hasRiver, Spree]
-
A.
Spree
chosen
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.
-
B.
WooCommerce
WooCommerce is a widely used open-source eCommerce plugin for WordPress that enables users to create and manage online stores.
-
C.
Magento
Magento is an open-source e-commerce platform widely used by businesses to build and manage online stores with extensive customization and scalability.
-
D.
Stripe
Stripe is a leading financial technology company that provides online payment processing and related services for internet businesses worldwide.
-
E.
Sky Store
Sky Store is a digital video-on-demand and movie purchase/rental service operated by the British media and telecommunications company Sky in the UK and Ireland.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a498fb823c8190a67ce4c4837e641a |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c4915bfc8190a631330b7c495b49 |
completed | March 1, 2026, 10:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad015f5ad08190aaa0d1063432af2b |
completed | March 8, 2026, 4:55 a.m. |
Created at: March 1, 2026, 8 p.m.