Triple
T17003579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leningradsky suburban direction |
E412509
|
entity |
| Predicate | hasTerminusOrMajorStop |
P34947
|
FINISHED |
| Object |
Podrezkovo
Podrezkovo is a suburban railway station and locality in the Moscow region of Russia, serving as a key stop on the Leningradsky suburban rail line.
|
E1248906
|
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: Podrezkovo | Statement: [Leningradsky suburban direction, hasTerminusOrMajorStop, Podrezkovo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Podrezkovo Context triple: [Leningradsky suburban direction, hasTerminusOrMajorStop, Podrezkovo]
-
A.
Hvozdnica
Hvozdnica is a small village and municipality in northern Slovakia known for its rural character and location within the Žilina Region.
-
B.
Karanovac
Karanovac is the former name of the Serbian city now known as Kraljevo.
-
C.
Borovo
Borovo is a small Bulgarian town situated along the Danube River in northern Bulgaria’s Ruse Province.
-
D.
Pećinci
Pećinci is a municipality in the Srem District of the autonomous province of Vojvodina in northern Serbia, known for its agricultural economy and proximity to Belgrade.
-
E.
Bjelolasica
Bjelolasica is a prominent mountain peak in Croatia known for its forested slopes and former ski facilities.
- 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: Podrezkovo Triple: [Leningradsky suburban direction, hasTerminusOrMajorStop, Podrezkovo]
Generated description
Podrezkovo is a suburban railway station and locality in the Moscow region of Russia, serving as a key stop on the Leningradsky suburban rail line.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Podrezkovo Target entity description: Podrezkovo is a suburban railway station and locality in the Moscow region of Russia, serving as a key stop on the Leningradsky suburban rail line.
-
A.
Hvozdnica
Hvozdnica is a small village and municipality in northern Slovakia known for its rural character and location within the Žilina Region.
-
B.
Karanovac
Karanovac is the former name of the Serbian city now known as Kraljevo.
-
C.
Borovo
Borovo is a small Bulgarian town situated along the Danube River in northern Bulgaria’s Ruse Province.
-
D.
Pećinci
Pećinci is a municipality in the Srem District of the autonomous province of Vojvodina in northern Serbia, known for its agricultural economy and proximity to Belgrade.
-
E.
Bjelolasica
Bjelolasica is a prominent mountain peak in Croatia known for its forested slopes and former ski facilities.
- 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_69d886cb581c8190ab05f4b429c9cd85 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d380f968819097b59e7bac333ea4 |
completed | April 18, 2026, 6:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012ece8730819084f4bbbd7579430c |
completed | May 11, 2026, 1:20 a.m. |
| NEDg | Description generation | batch_6a012f9339d88190a8976240f5b2a8d8 |
completed | May 11, 2026, 1:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01301a4fbc8190bbd5b5b9bad814d3 |
completed | May 11, 2026, 1:25 a.m. |
Created at: April 10, 2026, 5:32 a.m.