Triple

T5116489
Position Surface form Disambiguated ID Type / Status
Subject Moorgate station E115347 entity
Predicate hasStationCode P1289 FINISHED
Object MOG
MOG is the National Rail station code used to identify Moorgate railway station in London.
 E493320 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: MOG | Statement: [Moorgate station, hasStationCode, MOG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MOG
Context triple: [Moorgate station, hasStationCode, MOG]
  • A. Miga
    Miga is one of the official mascots of the 2010 Winter Olympics in Vancouver, depicted as a playful sea bear inspired by orcas and First Nations legends.
  • B. MOAH
    MOAH is a contemporary art and history museum in Lancaster, California, showcasing regional culture, fine art, and community-focused exhibitions.
  • C. M.O.
    M.O. is a studio album by American rapper Nelly that showcases his blend of hip hop and pop-rap with numerous guest collaborations.
  • D. M.O.
    M.O. is a character whose actions and storyline are followed in the television series "Heartland."
  • E. MOB
    MOB is the three-letter IATA airport code for Mobile Regional Airport in Mobile, Alabama, United States.
  • 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: MOG
Triple: [Moorgate station, hasStationCode, MOG]
Generated description
MOG is the National Rail station code used to identify Moorgate railway station in London.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MOG
Target entity description: MOG is the National Rail station code used to identify Moorgate railway station in London.
  • A. Miga
    Miga is one of the official mascots of the 2010 Winter Olympics in Vancouver, depicted as a playful sea bear inspired by orcas and First Nations legends.
  • B. MOAH
    MOAH is a contemporary art and history museum in Lancaster, California, showcasing regional culture, fine art, and community-focused exhibitions.
  • C. M.O.
    M.O. is a studio album by American rapper Nelly that showcases his blend of hip hop and pop-rap with numerous guest collaborations.
  • D. M.O.
    M.O. is a character whose actions and storyline are followed in the television series "Heartland."
  • E. MOB
    MOB is the three-letter IATA airport code for Mobile Regional Airport in Mobile, Alabama, United States.
  • 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_69bd4441d1648190a54a533895041987 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd75cfa9f88190aa7dfd264e554899 completed March 20, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69bebaafd674819080b751216e5b6f70 completed March 21, 2026, 3:35 p.m.
NEDg Description generation batch_69bebb27171481909492cad522ac143b completed March 21, 2026, 3:37 p.m.
NED2 Entity disambiguation (via description) batch_69bebc71065881908b27a2808fc4e630 completed March 21, 2026, 3:42 p.m.
Created at: March 20, 2026, 1:41 p.m.