Triple
T21632119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | federal highway M10 (Russia) |
E533856
|
entity |
| Predicate | hasJunctionWith |
P1018
|
FINISHED |
| Object |
A113 (Russia)
A113 (Russia) is a major Russian highway that serves as part of the Central Ring Road around Moscow, providing an important bypass route for transit traffic.
|
E1494257
|
NE FINISHED |
How this triple was built (4 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: A113 (Russia) | Statement: [federal highway M10 (Russia), hasJunctionWith, A113 (Russia)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A113 (Russia) Context triple: [federal highway M10 (Russia), hasJunctionWith, A113 (Russia)]
-
A.
Saratov-1
Saratov-1 is the main railway station serving the city of Saratov in southwestern Russia.
-
B.
Avangard Omsk
Avangard Omsk is a prominent professional ice hockey club from Omsk, Russia, known as one of the country’s most successful and historically significant teams.
-
C.
Soviet Group A
Soviet Group A was the top-tier football league in the Soviet Union before it was reorganized and replaced by the Soviet Top League.
-
D.
Izhmekh
Izhmekh is a major Russian arms manufacturer best known for producing Makarov pistols and other small arms in Izhevsk.
-
E.
La Russa
La Russa is an Italian surname most prominently associated with Hall of Fame Major League Baseball manager Tony La Russa.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: A113 (Russia) Triple: [federal highway M10 (Russia), hasJunctionWith, A113 (Russia)]
Generated description
A113 (Russia) is a major Russian highway that serves as part of the Central Ring Road around Moscow, providing an important bypass route for transit traffic.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: A113 (Russia) Target entity description: A113 (Russia) is a major Russian highway that serves as part of the Central Ring Road around Moscow, providing an important bypass route for transit traffic.
-
A.
Saratov-1
Saratov-1 is the main railway station serving the city of Saratov in southwestern Russia.
-
B.
Avangard Omsk
Avangard Omsk is a prominent professional ice hockey club from Omsk, Russia, known as one of the country’s most successful and historically significant teams.
-
C.
Soviet Group A
Soviet Group A was the top-tier football league in the Soviet Union before it was reorganized and replaced by the Soviet Top League.
-
D.
Izhmekh
Izhmekh is a major Russian arms manufacturer best known for producing Makarov pistols and other small arms in Izhevsk.
-
E.
La Russa
La Russa is an Italian surname most prominently associated with Hall of Fame Major League Baseball manager Tony La Russa.
- F. None of above. chosen
Provenance (5 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_69e0c465ae7481908577b7209fdb2a77 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef5217952c8190910c2103fb4a27d9 |
completed | April 27, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a0f99a1b4819093788a4052d16b27 |
completed | May 17, 2026, 6:57 p.m. |
| NEDg | Description generation | batch_6a0a113126808190ba002d405cc9a3d6 |
completed | May 17, 2026, 7:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a119cb17c8190a8732930b78b60cc |
completed | May 17, 2026, 7:06 p.m. |
Created at: April 16, 2026, 6:34 p.m.