Triple
T9240325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Domodedovskaya |
E222040
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Domodedovo town |
E40627
|
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: Domodedovo town | Statement: [Domodedovskaya, namedAfter, Domodedovo town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Domodedovo town Context triple: [Domodedovskaya, namedAfter, Domodedovo town]
-
A.
Domodedovo
chosen
Domodedovo is a town in Moscow Oblast, Russia, known primarily for hosting one of the Moscow region’s major international airports.
-
B.
Aeroport District, Moscow
Aeroport District is a residential and commercial neighborhood in Moscow’s Northern Administrative Okrug, known for its Soviet-era architecture, transport links, and proximity to former aviation and industrial sites.
-
C.
Krylatskoye
Krylatskoye is a Moscow Metro station serving the Krylatskoye District in western Moscow, Russia.
-
D.
Domodedovo Urban Okrug
Domodedovo Urban Okrug is a municipal formation in Moscow Oblast, Russia, that encompasses the town of Domodedovo and its surrounding territory.
-
E.
Domodedovo International Airport
Domodedovo International Airport is one of Moscow’s major international airports and a key air transport hub in Russia.
- 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_69d077db03048190b9c1f0812da21733 |
completed | April 4, 2026, 2:30 a.m. |
Created at: March 30, 2026, 7:30 p.m.