Triple
T9240340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Domodedovskaya |
E222040
|
entity |
| Predicate | hasAdjacentStation |
P231
|
FINISHED |
| Object | Orekhovo |
E248635
|
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: Orekhovo | Statement: [Domodedovskaya, hasAdjacentStation, Orekhovo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orekhovo Context triple: [Domodedovskaya, hasAdjacentStation, Orekhovo]
-
A.
Orekhovo
chosen
Orekhovo is a Moscow Metro station on the Zamoskvoretskaya Line serving the Orekhovo-Borisovo district in southern Moscow.
-
B.
Yegoryevsk
Yegoryevsk is a historic town in Russia, now part of Moscow Oblast, known for its 19th-century architecture and industrial heritage.
-
C.
Aksakovo
Aksakovo is a town in northeastern Bulgaria that serves as an important residential and industrial center near the city of Varna.
-
D.
Noginsk
Noginsk is a town in western Russia that serves as an industrial and transport center east of Moscow.
-
E.
Konakovo
Konakovo is a town in Tver Oblast, Russia, situated on the Volga River and known for its power station and riverside recreation.
- 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_69ca83ee26cc81909ac624e190597d6d |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccf0a3888c8190b72d8d0b850bdfbc |
completed | April 1, 2026, 10:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d12cc1e4608190b1e93bdcf0fd9eba |
completed | April 4, 2026, 3:22 p.m. |
Created at: March 30, 2026, 7:30 p.m.