Triple
T13556986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keith Langford |
E323800
|
entity |
| Predicate | memberOfSportsTeam |
P330
|
FINISHED |
| Object | Khimki Moscow Region |
E52717
|
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: Khimki Moscow Region | Statement: [Keith Langford, memberOfSportsTeam, Khimki Moscow Region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Khimki Moscow Region Context triple: [Keith Langford, memberOfSportsTeam, Khimki Moscow Region]
-
A.
Khimki
chosen
Khimki is a city in Moscow Oblast, Russia, forming part of the Moscow metropolitan area and known for its proximity to major transport hubs and industrial facilities.
-
B.
Khimki Urban Okrug
Khimki Urban Okrug is a municipal formation in Moscow Oblast, Russia, encompassing the city of Khimki and its surrounding territories as a single urban administrative unit.
-
C.
Dmitrov
Dmitrov is a historic town in Moscow Oblast, Russia, located north of Moscow and known for its medieval kremlin and role as a regional cultural center.
-
D.
Troparevo
Troparevo is a Moscow Metro station serving the southwestern part of the city in the Troparevo-Nikulino District.
-
E.
Lyubertsy
Lyubertsy is a city in Russia that serves as a major suburban and industrial center just southeast of Moscow.
- 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_69d8076830b48190910a902bae5888e2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaff3063c8190bd20149b3f7df352 |
completed | April 12, 2026, 2:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75da95b7c8190af4fae155f01d3af |
completed | May 3, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:47 p.m.