Triple

T14155038
Position Surface form Disambiguated ID Type / Status
Subject Hamilton railway station E350792 entity
Predicate hasStationCode P1289 FINISHED
Object HMI
HMI is the station code for Hamilton railway station, a train stop serving the town of Hamilton.
 E1083968 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: HMI | Statement: [Hamilton railway station, hasStationCode, HMI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HMI
Context triple: [Hamilton railway station, hasStationCode, HMI]
  • A. HMI
    HMI is a key instrument on NASA’s Solar Dynamics Observatory that measures the Sun’s magnetic field and surface oscillations to study solar activity and interior structure.
  • B. HMI
    HMI is a renowned Indian mountaineering institute in Darjeeling that trains climbers and promotes Himalayan exploration and adventure sports.
  • C. MMI
    MMI is an abbreviation for Muslim Mosque, Inc., a religious organization associated with the Muslim community.
  • D. HSI
    HSI is the principal investigative arm of the U.S. Department of Homeland Security, responsible for enforcing federal laws related to border security, customs, immigration, and transnational crime.
  • E. HID
    HID (Human Interface Device) is a Bluetooth profile that enables wireless communication between input devices like keyboards, mice, and game controllers and host systems.
  • 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: HMI
Triple: [Hamilton railway station, hasStationCode, HMI]
Generated description
HMI is the station code for Hamilton railway station, a train stop serving the town of Hamilton.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HMI
Target entity description: HMI is the station code for Hamilton railway station, a train stop serving the town of Hamilton.
  • A. HMI
    HMI is a key instrument on NASA’s Solar Dynamics Observatory that measures the Sun’s magnetic field and surface oscillations to study solar activity and interior structure.
  • B. HMI
    HMI is a renowned Indian mountaineering institute in Darjeeling that trains climbers and promotes Himalayan exploration and adventure sports.
  • C. MMI
    MMI is an abbreviation for Muslim Mosque, Inc., a religious organization associated with the Muslim community.
  • D. HSI
    HSI is the principal investigative arm of the U.S. Department of Homeland Security, responsible for enforcing federal laws related to border security, customs, immigration, and transnational crime.
  • E. HID
    HID (Human Interface Device) is a Bluetooth profile that enables wireless communication between input devices like keyboards, mice, and game controllers and host systems.
  • 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_69d8278775fc8190b0802d22ca2f495d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6135744c81909a43d659f5fe2895 completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7ec6448819087e50aac964ec637 completed May 7, 2026, 8:37 p.m.
NEDg Description generation batch_69fd06d23af481909924b61260788f0b completed May 7, 2026, 9:40 p.m.
NED2 Entity disambiguation (via description) batch_69fd075f7a40819097de4bdbd3fad547 completed May 7, 2026, 9:42 p.m.
Created at: April 10, 2026, 12:58 a.m.