Triple
T10036530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belorussky railway station |
E205183
|
entity |
| Predicate | hasIATAcode |
P2569
|
FINISHED |
| Object |
BWZ
BWZ is the IATA station code for Moscow’s Belorussky railway terminal, a major rail hub in Russia.
|
E837973
|
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: BWZ | Statement: [Belorussky railway station, hasIATAcode, BWZ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BWZ Context triple: [Belorussky railway station, hasIATAcode, BWZ]
-
A.
BZ
BZ is the vehicle registration code used on license plates for the municipality of Rammenau in Germany.
-
B.
BZ
BZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Belize.
-
C.
BZ
BZ is the commonly used abbreviation for the Ministry of Foreign Affairs of the Netherlands, which is responsible for the country’s foreign policy and international relations.
-
D.
BZ
BZ is the vehicle registration code used for the district and city of Bautzen in the German state of Saxony.
-
E.
BZN
BZN is a Dutch pop band best known for its melodic, easy-listening songs and long-standing popularity in the Netherlands.
- 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: BWZ Triple: [Belorussky railway station, hasIATAcode, BWZ]
Generated description
BWZ is the IATA station code for Moscow’s Belorussky railway terminal, a major rail hub in Russia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BWZ Target entity description: BWZ is the IATA station code for Moscow’s Belorussky railway terminal, a major rail hub in Russia.
-
A.
BZ
BZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Belize.
-
B.
BZ
BZ is the commonly used abbreviation for the Ministry of Foreign Affairs of the Netherlands, which is responsible for the country’s foreign policy and international relations.
-
C.
BZ
BZ is the vehicle registration code used on license plates for the municipality of Rammenau in Germany.
-
D.
BZ
BZ is the vehicle registration code used for the district and city of Bautzen in the German state of Saxony.
-
E.
BZN
BZN is a Dutch pop band best known for its melodic, easy-listening songs and long-standing popularity in the Netherlands.
- 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_69ca834f70e88190b2d74828b7767ec1 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdce4bb3408190ac5dae4718ef7cad |
completed | April 2, 2026, 2:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d28258ab088190a31ad5854d91193b |
completed | April 5, 2026, 3:40 p.m. |
| NEDg | Description generation | batch_69d2867128ec8190a91cfc9def68c2be |
completed | April 5, 2026, 3:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d286fdd2c88190b0ce5070c7875dcc |
completed | April 5, 2026, 3:59 p.m. |
Created at: March 30, 2026, 8:55 p.m.