Triple

T22046653
Position Surface form Disambiguated ID Type / Status
Subject Soldier’s Medal E544777 entity
Predicate abbreviation P43 FINISHED
Object SM
SM is the U.S. Army’s Soldier’s Medal, a military decoration awarded for acts of heroism not involving actual conflict with an enemy.
E1515270 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: SM | Statement: [Soldier’s Medal, abbreviation, SM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SM
Context triple: [Soldier’s Medal, abbreviation, SM]
  • A. SM
    SM is the vehicle registration code used on license plates for the city of Sremska Mitrovica in Serbia.
  • B. SM
    SM is the vehicle registration code assigned to the German town of Meiningen and its surrounding district.
  • C. SM
    SM is the vehicle registration code used on license plates for vehicles registered in Satu Mare County, Romania.
  • D. SM
    SM is a UK postcode area in southwest London and northern Surrey, covering towns such as Sutton, Cheam, and Carshalton.
  • E. .sm
    .sm is the country code top-level domain (ccTLD) assigned to the Republic of San Marino for use on the internet.
  • 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: SM
Triple: [Soldier’s Medal, abbreviation, SM]
Generated description
SM is the U.S. Army’s Soldier’s Medal, a military decoration awarded for acts of heroism not involving actual conflict with an enemy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SM
Target entity description: SM is the U.S. Army’s Soldier’s Medal, a military decoration awarded for acts of heroism not involving actual conflict with an enemy.
  • A. SM
    SM is the vehicle registration code used on license plates for the city of Sremska Mitrovica in Serbia.
  • B. SM
    SM is the vehicle registration code assigned to the German town of Meiningen and its surrounding district.
  • C. SM
    SM is a UK postcode area in southwest London and northern Surrey, covering towns such as Sutton, Cheam, and Carshalton.
  • D. SM
    SM is the vehicle registration code used on license plates for vehicles registered in Satu Mare County, Romania.
  • E. .sm
    .sm is the country code top-level domain (ccTLD) assigned to the Republic of San Marino for use on the internet.
  • 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_69e11e32445c8190ab97089b48a130bb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1282f4a448190bca55348c457a4bd completed April 28, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a7b7736708190bad46e7f44aeb18c completed May 18, 2026, 2:37 a.m.
NEDg Description generation batch_6a0a7c4736808190bd04e03adcb2d97b completed May 18, 2026, 2:41 a.m.
NED2 Entity disambiguation (via description) batch_6a0a7d80f9c08190b18e04b9e9cf47a5 completed May 18, 2026, 2:46 a.m.
Created at: April 16, 2026, 8:26 p.m.