Triple
T20229474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orikhiv sector |
E495476
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Robotyne area |
—
|
NE NERFINISHED |
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: Robotyne area | Statement: [Orikhiv sector, near, Robotyne area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robotyne area Context triple: [Orikhiv sector, near, Robotyne area]
-
A.
Robotyne area
chosen
The Robotyne area is a war-torn sector in southern Ukraine that has become a focal point of intense fighting and strategic military operations in the Russo-Ukrainian War.
-
B.
Trongate area
The Trongate area is a historic district at the eastern end of Glasgow’s city centre, known for its traditional streetscape, shops, bars, and cultural venues.
-
C.
Keage Station area
The Keage Station area is a district in Kyoto, Japan, known as a convenient gateway to nearby cultural and scenic spots such as temples, canals, and walking paths.
-
D.
Botlek area
The Botlek area is an industrial and port district within the Port of Rotterdam, known for its large petrochemical complexes and heavy maritime logistics activities.
-
E.
Sidelhorn area
The Sidelhorn area is a mountainous region in the central Swiss Alps known for its high-altitude terrain and alpine landscapes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da626cff80819097b530718a7c98b6 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66fdc2590819089a946d16c6c0e59 |
completed | April 20, 2026, 6:26 p.m. |
Created at: April 11, 2026, 11:39 p.m.