Triple
T1451590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Musala |
E31301
|
entity |
| Predicate | hasNearbyCity |
P350
|
FINISHED |
| Object |
Samokov
Samokov is a Bulgarian town in the Rila Mountains known historically for its ironworking and as a gateway to nearby ski and hiking areas.
|
E165798
|
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: Samokov | Statement: [Musala, hasNearbyCity, Samokov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Samokov Context triple: [Musala, hasNearbyCity, Samokov]
-
A.
Reutov
Reutov is a town in western Russia that functions as a suburban satellite of Moscow, known for its residential areas and proximity to the capital.
-
B.
Kolomna
Kolomna is a historic Russian city southeast of Moscow, known for its well-preserved kremlin, medieval architecture, and traditional pastila confectionery.
-
C.
Skovorodino
Skovorodino is a small town in Russia’s Far Eastern Amur Oblast, known historically as a railway junction on the Trans-Siberian Railway.
-
D.
Odintsovo
Odintsovo is a town in western Russia that serves as an important suburban center just outside Moscow.
-
E.
Krasnov
Krasnov is a Russian surname borne by various notable figures in military, political, and cultural history.
- 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: Samokov Triple: [Musala, hasNearbyCity, Samokov]
Generated description
Samokov is a Bulgarian town in the Rila Mountains known historically for its ironworking and as a gateway to nearby ski and hiking areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Samokov Target entity description: Samokov is a Bulgarian town in the Rila Mountains known historically for its ironworking and as a gateway to nearby ski and hiking areas.
-
A.
Reutov
Reutov is a town in western Russia that functions as a suburban satellite of Moscow, known for its residential areas and proximity to the capital.
-
B.
Kolomna
Kolomna is a historic Russian city southeast of Moscow, known for its well-preserved kremlin, medieval architecture, and traditional pastila confectionery.
-
C.
Skovorodino
Skovorodino is a small town in Russia’s Far Eastern Amur Oblast, known historically as a railway junction on the Trans-Siberian Railway.
-
D.
Odintsovo
Odintsovo is a town in western Russia that serves as an important suburban center just outside Moscow.
-
E.
Krasnov
Krasnov is a Russian surname borne by various notable figures in military, political, and cultural history.
- 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_69a499171a28819085b993a3ac78e363 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c57bc0908190a57e6bc3d20d5e3c |
completed | March 1, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad08c6f7c881908d1ef9f7897895a6 |
completed | March 8, 2026, 5:27 a.m. |
| NEDg | Description generation | batch_69ad0a53fa6c8190bc44e8a3f9aec62f |
completed | March 8, 2026, 5:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad0aefb1c88190a368d68454a0b9d0 |
completed | March 8, 2026, 5:36 a.m. |
Created at: March 1, 2026, 8 p.m.