Triple

T6148276
Position Surface form Disambiguated ID Type / Status
Subject Ulaanbaatar railway station E137133 entity
Predicate hasStationCode P1289 FINISHED
Object УБТ
УБТ is the station code used to designate Ulaanbaatar’s main railway station in Mongolia’s rail network.
 E572253 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: УБТ | Statement: [Ulaanbaatar railway station, hasStationCode, УБТ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: УБТ
Context triple: [Ulaanbaatar railway station, hasStationCode, УБТ]
  • A. Firkovich B19A
    Firkovich B19A is the archival shelfmark assigned to the Leningrad Codex, the oldest complete manuscript of the Hebrew Bible in Hebrew.
  • B. Ushba
    Ushba is a striking double-summited peak in the Caucasus Mountains of Georgia, renowned among climbers for its technical difficulty and dramatic, spire-like profile.
  • C. Utoro
    Utoro is a small coastal settlement on Japan’s Shiretoko Peninsula that serves as a main gateway and service hub for visitors to Shiretoko National Park.
  • D. S-25 Berkut
    The S-25 Berkut was an early Soviet fixed surface-to-air missile system developed in the 1950s to provide high-altitude air defense for Moscow during the Cold War.
  • E. UZS
    UZS is the official currency code for the Uzbekistani soʻm, the national currency of Uzbekistan.
  • 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: УБТ
Triple: [Ulaanbaatar railway station, hasStationCode, УБТ]
Generated description
УБТ is the station code used to designate Ulaanbaatar’s main railway station in Mongolia’s rail network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: УБТ
Target entity description: УБТ is the station code used to designate Ulaanbaatar’s main railway station in Mongolia’s rail network.
  • A. Firkovich B19A
    Firkovich B19A is the archival shelfmark assigned to the Leningrad Codex, the oldest complete manuscript of the Hebrew Bible in Hebrew.
  • B. Ushba
    Ushba is a striking double-summited peak in the Caucasus Mountains of Georgia, renowned among climbers for its technical difficulty and dramatic, spire-like profile.
  • C. Utoro
    Utoro is a small coastal settlement on Japan’s Shiretoko Peninsula that serves as a main gateway and service hub for visitors to Shiretoko National Park.
  • D. S-25 Berkut
    The S-25 Berkut was an early Soviet fixed surface-to-air missile system developed in the 1950s to provide high-altitude air defense for Moscow during the Cold War.
  • E. UZS
    UZS is the official currency code for the Uzbekistani soʻm, the national currency of Uzbekistan.
  • 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_69c008a2c6308190a56519b22d55d083 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05ce07fb081909278088e9e2e2959 completed March 22, 2026, 9:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c13603730881909b3991c7262509b5 completed March 23, 2026, 12:45 p.m.
NEDg Description generation batch_69c139f6f11c81909eb0b2ab809de079 completed March 23, 2026, 1:02 p.m.
NED2 Entity disambiguation (via description) batch_69c13a5f53ec8190be24f37fc5fb7f32 completed March 23, 2026, 1:04 p.m.
Created at: March 22, 2026, 4:16 p.m.