Triple

T17821835
Position Surface form Disambiguated ID Type / Status
Subject Lanzhou Jiaotong University E445003 entity
Predicate shortName P43 FINISHED
Object LZJTU
LZJTU is the abbreviated name of Lanzhou Jiaotong University, a Chinese institution known for its focus on transportation, engineering, and related disciplines.
 E1289227 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: LZJTU | Statement: [Lanzhou Jiaotong University, shortName, LZJTU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LZJTU
Context triple: [Lanzhou Jiaotong University, shortName, LZJTU]
  • A. LZJ
    LZJ is the station code used to identify Lanzhou railway station in China’s railway network.
  • B. ZTU
    ZTU is the IATA station code assigned to a specific passenger rail station in Miami, Florida, used for ticketing and travel logistics.
  • C. LZB
    LZB is a continuous automatic train control and cab signaling system used on high-speed and heavy-traffic railway lines, particularly in Germany and neighboring countries.
  • D. LZKZ
    LZKZ is the ICAO airport code for Košice International Airport in eastern Slovakia.
  • E. LJU
    LJU is the UN/LOCODE designation for Ljubljana Jože Pučnik Airport, the main international airport serving Ljubljana, Slovenia.
  • 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: LZJTU
Triple: [Lanzhou Jiaotong University, shortName, LZJTU]
Generated description
LZJTU is the abbreviated name of Lanzhou Jiaotong University, a Chinese institution known for its focus on transportation, engineering, and related disciplines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LZJTU
Target entity description: LZJTU is the abbreviated name of Lanzhou Jiaotong University, a Chinese institution known for its focus on transportation, engineering, and related disciplines.
  • A. LZJ
    LZJ is the station code used to identify Lanzhou railway station in China’s railway network.
  • B. ZTU
    ZTU is the IATA station code assigned to a specific passenger rail station in Miami, Florida, used for ticketing and travel logistics.
  • C. LZB
    LZB is a continuous automatic train control and cab signaling system used on high-speed and heavy-traffic railway lines, particularly in Germany and neighboring countries.
  • D. LZKZ
    LZKZ is the ICAO airport code for Košice International Airport in eastern Slovakia.
  • E. LJU
    LJU is the UN/LOCODE designation for Ljubljana Jože Pučnik Airport, the main international airport serving Ljubljana, Slovenia.
  • 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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48911b660819097fc7ea94665a02a completed April 19, 2026, 7:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02ff69f02c81908a7b6b8b564cceec completed May 12, 2026, 10:22 a.m.
NEDg Description generation batch_6a03000abe908190a4f4835f348aa544 completed May 12, 2026, 10:25 a.m.
NED2 Entity disambiguation (via description) batch_6a0300e885e481909c76dfbac2fd1009 completed May 12, 2026, 10:28 a.m.
Created at: April 10, 2026, 10:15 a.m.