Triple

T20991356
Position Surface form Disambiguated ID Type / Status
Subject Damoh railway station E517030 entity
Predicate railwayCode P18202 FINISHED
Object DMO
DMO is the station code for Damoh railway station, a regional rail hub in the Indian state of Madhya Pradesh.
 E1461037 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: DMO | Statement: [Damoh railway station, railwayCode, DMO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DMO
Context triple: [Damoh railway station, railwayCode, DMO]
  • A. DMO
    DMO is the commonly used abbreviation for the UK Debt Management Office, the government agency responsible for managing the United Kingdom’s debt and cash needs.
  • B. DGMO
    DGMO is the senior military officer responsible for overseeing and coordinating a nation's army operational planning and conduct of military operations.
  • C. DMH
    DMH is the Massachusetts state agency responsible for overseeing and providing public mental health services and supports.
  • D. DME
    DME is a radio navigation system used in aviation to provide pilots with precise distance information from an aircraft to a ground-based station.
  • E. DME
    DME is the IATA airport code for Moscow’s Domodedovo International Airport, one of the major airports serving the Russian capital.
  • 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: DMO
Triple: [Damoh railway station, railwayCode, DMO]
Generated description
DMO is the station code for Damoh railway station, a regional rail hub in the Indian state of Madhya Pradesh.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DMO
Target entity description: DMO is the station code for Damoh railway station, a regional rail hub in the Indian state of Madhya Pradesh.
  • A. DMO
    DMO is the commonly used abbreviation for the UK Debt Management Office, the government agency responsible for managing the United Kingdom’s debt and cash needs.
  • B. DGMO
    DGMO is the senior military officer responsible for overseeing and coordinating a nation's army operational planning and conduct of military operations.
  • C. DMH
    DMH is the Massachusetts state agency responsible for overseeing and providing public mental health services and supports.
  • D. DME
    DME is a radio navigation system used in aviation to provide pilots with precise distance information from an aircraft to a ground-based station.
  • E. DME
    DME is a high-speed expressway in northern India that connects Delhi with the city of Meerut to reduce travel time and ease regional traffic congestion.
  • 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_69e0b5006e2881909fc2383f841740cc completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc1ba3d0819080d9d03817a45026 completed April 21, 2026, 4:24 a.m.
NED1 Entity disambiguation (via context triple) batch_6a092fc9905c81909b42a0bd6ab59fef completed May 17, 2026, 3:02 a.m.
NEDg Description generation batch_6a09316d8a5081909bd21ea01422be47 completed May 17, 2026, 3:09 a.m.
NED2 Entity disambiguation (via description) batch_6a0932384acc8190a4d2cbdc208d4969 completed May 17, 2026, 3:12 a.m.
Created at: April 16, 2026, 1:50 p.m.