Triple
T15115604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kostroma River |
E361030
|
entity |
| Predicate | hasCityOnBank |
P7935
|
FINISHED |
| Object | Buy |
E281344
|
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: Buy | Statement: [Kostroma River, hasCityOnBank, Buy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buy Context triple: [Kostroma River, hasCityOnBank, Buy]
-
A.
Buy
chosen
Buy is a historic town in Kostroma Oblast, Russia, known for its long-standing regional significance and traditional Russian provincial character.
-
B.
Buy More
Buy More is a fictional big-box electronics retail store that serves as a primary setting and workplace in the TV series "Chuck."
-
C.
Beli
Beli is a small village and historic settlement located on the Croatian island of Cres in the Adriatic Sea.
-
D.
Store
Store is the central NgRx state container that holds application state and enables reactive, unidirectional data flow in Angular applications.
-
E.
Bringsty
Bringsty is a small rural hamlet in Herefordshire, England, known for its scattered farms, countryside views, and proximity to the market town of Bromyard.
- 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_69d85a0491ec8190830960be8fafb994 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0058f4fb88190a3d446a466aebcf1 |
completed | April 15, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7eee6e8819092657c4006456135 |
completed | May 9, 2026, 4:28 a.m. |
Created at: April 10, 2026, 3:05 a.m.