Triple

T10251643
Position Surface form Disambiguated ID Type / Status
Subject Maze Hill railway station E240356 entity
Predicate stationCode P1289 FINISHED
Object MZH
MZH is the National Rail station code for Maze Hill railway station in southeast London.
 E854015 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: MZH | Statement: [Maze Hill railway station, stationCode, MZH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MZH
Context triple: [Maze Hill railway station, stationCode, MZH]
  • A. ZMH
    ZMH is the three-letter station code used to identify Mansion House Underground station on the London Underground network.
  • B. ZMH
    ZMH is the former stock ticker symbol for Zimmer Holdings, a major medical device company specializing in orthopedic products such as joint replacement implants.
  • C. Zizhan
    Zizhan is the courtesy name of Su Shi, the renowned Song dynasty Chinese poet, calligrapher, and statesman also known as Su Dongpo.
  • D. Muzong
    Muzong is the temple name of the Longqing Emperor, a Ming dynasty ruler of China who reigned from 1567 to 1572.
  • E. Jianzhong
    Jianzhong was a brief imperial era name used during the reign of Emperor Dezong in the Tang dynasty, marking a specific period in his rule.
  • 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: MZH
Triple: [Maze Hill railway station, stationCode, MZH]
Generated description
MZH is the National Rail station code for Maze Hill railway station in southeast London.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MZH
Target entity description: MZH is the National Rail station code for Maze Hill railway station in southeast London.
  • A. ZMH
    ZMH is the former stock ticker symbol for Zimmer Holdings, a major medical device company specializing in orthopedic products such as joint replacement implants.
  • B. ZMH
    ZMH is the three-letter station code used to identify Mansion House Underground station on the London Underground network.
  • C. Zizhan
    Zizhan is the courtesy name of Su Shi, the renowned Song dynasty Chinese poet, calligrapher, and statesman also known as Su Dongpo.
  • D. Muzong
    Muzong is the temple name of the Longqing Emperor, a Ming dynasty ruler of China who reigned from 1567 to 1572.
  • E. Jianzhong
    Jianzhong was a brief imperial era name used during the reign of Emperor Dezong in the Tang dynasty, marking a specific period in his rule.
  • 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_69d381a7e198819090280d5ab885d59e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d23e39988190b75c6421b85d430d completed April 7, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f7bf00c881909c1e494a9460c3ce completed April 9, 2026, 12:50 a.m.
NEDg Description generation batch_69d6fcab0bfc8190b47bc165ef3eb15d completed April 9, 2026, 1:11 a.m.
NED2 Entity disambiguation (via description) batch_69d70fc3b15081908d1b67a7094c6210 completed April 9, 2026, 2:32 a.m.
Created at: April 6, 2026, 11:29 a.m.