Triple

T11919171
Position Surface form Disambiguated ID Type / Status
Subject Durham railway station E283609 entity
Predicate stationCode P1289 FINISHED
Object DHM
DHM is the National Rail station code for Durham railway station in County Durham, England.
 E954475 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: DHM | Statement: [Durham railway station, stationCode, DHM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DHM
Context triple: [Durham railway station, stationCode, DHM]
  • A. DHM
    DHM is the commonly used abbreviation for the German Historical Museum in Berlin, a major institution dedicated to documenting and presenting German history.
  • B. DHMİ
    DHMİ is Turkey’s state-owned General Directorate of State Airports Authority, responsible for operating and managing the country’s major airports and air navigation services.
  • C. DMH
    DMH is the Massachusetts state agency responsible for overseeing and providing public mental health services and supports.
  • D. HdM
    HdM is the commonly used abbreviation for Stuttgart Media University, a German university specializing in media, information, and communication studies.
  • E. DH
    DH is the postcode area covering Durham and surrounding parts of North East England in the United Kingdom.
  • 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: DHM
Triple: [Durham railway station, stationCode, DHM]
Generated description
DHM is the National Rail station code for Durham railway station in County Durham, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DHM
Target entity description: DHM is the National Rail station code for Durham railway station in County Durham, England.
  • A. DHM
    DHM is the commonly used abbreviation for the German Historical Museum in Berlin, a major institution dedicated to documenting and presenting German history.
  • B. DHMİ
    DHMİ is Turkey’s state-owned General Directorate of State Airports Authority, responsible for operating and managing the country’s major airports and air navigation services.
  • C. DMH
    DMH is the Massachusetts state agency responsible for overseeing and providing public mental health services and supports.
  • D. HdM
    HdM is the commonly used abbreviation for Stuttgart Media University, a German university specializing in media, information, and communication studies.
  • E. DH
    DH is the postcode area covering Durham and surrounding parts of North East England in the United Kingdom.
  • 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_69d6ab2c07e88190ba13b0d21fd6cf33 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8e8dff77481908cacf6ad03df34ac completed April 10, 2026, 12:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69f440247cf4819084567f6e1005ef04 completed May 1, 2026, 5:54 a.m.
NEDg Description generation batch_69f448fa8eec81909fe6ac0902f46998 completed May 1, 2026, 6:32 a.m.
NED2 Entity disambiguation (via description) batch_69f44aef15148190ba8090681b921ffa completed May 1, 2026, 6:40 a.m.
Created at: April 8, 2026, 9:44 p.m.