Triple

T12723242
Position Surface form Disambiguated ID Type / Status
Subject Mill Hill East E304037 entity
Predicate stationCode P1289 FINISHED
Object MHE
MHE is the three-letter National Rail station code for Mill Hill East, a London Underground station on the Northern line in north London.
 E999773 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: MHE | Statement: [Mill Hill East, stationCode, MHE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MHE
Context triple: [Mill Hill East, stationCode, MHE]
  • A. MH
    MH is the two-letter ISO 3166-1 alpha-2 country code representing the Republic of the Marshall Islands.
  • B. MH
    MH is the two-letter IATA airline designator used to identify Malaysia Airlines on tickets, timetables, and flight numbers.
  • C. MH
    MH is the official vehicle registration code assigned to the Indian state of Maharashtra.
  • D. MH
    MH is the common abbreviation for the Memphis Hustle, the NBA G League affiliate of the Memphis Grizzlies.
  • E. MHR
    MHR is the three-letter IATA airport code for Mather Airport, a public airport serving the Sacramento, California area.
  • 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: MHE
Triple: [Mill Hill East, stationCode, MHE]
Generated description
MHE is the three-letter National Rail station code for Mill Hill East, a London Underground station on the Northern line in north London.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MHE
Target entity description: MHE is the three-letter National Rail station code for Mill Hill East, a London Underground station on the Northern line in north London.
  • A. MH
    MH is the two-letter ISO 3166-1 alpha-2 country code representing the Republic of the Marshall Islands.
  • B. MH
    MH is the two-letter IATA airline designator used to identify Malaysia Airlines on tickets, timetables, and flight numbers.
  • C. MH
    MH is the official vehicle registration code assigned to the Indian state of Maharashtra.
  • D. MH
    MH is the common abbreviation for the Memphis Hustle, the NBA G League affiliate of the Memphis Grizzlies.
  • E. MHR
    MHR is the three-letter IATA airport code for Mather Airport, a public airport serving the Sacramento, California area.
  • 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_69d7bdf084148190ab9d513dc0735af4 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d964148f988190a4d0e7b41614fa64 completed April 10, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c841edc81909147d30c51471c47 completed May 2, 2026, 10:36 p.m.
NEDg Description generation batch_69f67d64ed3481908d434c20796866f9 completed May 2, 2026, 10:40 p.m.
NED2 Entity disambiguation (via description) batch_69f67e82e35081909c4b5fad7e941610 completed May 2, 2026, 10:45 p.m.
Created at: April 9, 2026, 5:25 p.m.