Triple

T10189468
Position Surface form Disambiguated ID Type / Status
Subject Université Savoie Mont Blanc E237994 entity
Predicate shortName P43 FINISHED
Object USMB
USMB is the commonly used acronym for Université Savoie Mont Blanc, a French public university located in the Savoie region near the Alps.
 E846780 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: USMB | Statement: [Université Savoie Mont Blanc, shortName, USMB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: USMB
Context triple: [Université Savoie Mont Blanc, shortName, USMB]
  • A. USM
    USM is the stock ticker symbol for United States Cellular Corporation, a regional wireless telecommunications provider in the United States.
  • B. USM
    USM is the abbreviation for the U.S. Department of State’s Under Secretary for Management, the senior official overseeing the department’s administrative, budgetary, and logistical functions.
  • C. USM
    USM is the IATA airport code for Samui International Airport serving Ko Samui in Thailand.
  • D. USM
    USM (User-based Security Model) is the SNMPv3 security framework that provides user-level authentication, privacy (encryption), and access control for Simple Network Management Protocol communications.
  • E. USM
    USM is a public research university located in Hattiesburg, Mississippi, known for its programs in the arts, sciences, and education.
  • 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: USMB
Triple: [Université Savoie Mont Blanc, shortName, USMB]
Generated description
USMB is the commonly used acronym for Université Savoie Mont Blanc, a French public university located in the Savoie region near the Alps.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: USMB
Target entity description: USMB is the commonly used acronym for Université Savoie Mont Blanc, a French public university located in the Savoie region near the Alps.
  • A. USM
    USM is the stock ticker symbol for United States Cellular Corporation, a regional wireless telecommunications provider in the United States.
  • B. USM
    USM is the abbreviation for the U.S. Department of State’s Under Secretary for Management, the senior official overseeing the department’s administrative, budgetary, and logistical functions.
  • C. USM
    USM is the IATA airport code for Samui International Airport serving Ko Samui in Thailand.
  • D. USM
    USM (User-based Security Model) is the SNMPv3 security framework that provides user-level authentication, privacy (encryption), and access control for Simple Network Management Protocol communications.
  • E. USM
    USM is a public research university located in Hattiesburg, Mississippi, known for its programs in the arts, sciences, and education.
  • 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_69ca84de1b208190bf17bb305b002605 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cded7d6fdc81908052866495b6574f completed April 2, 2026, 4:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69d317b734a4819085645caea8ba0481 completed April 6, 2026, 2:17 a.m.
NEDg Description generation batch_69d319937ec08190bf5442a7e3a9ba9f completed April 6, 2026, 2:25 a.m.
NED2 Entity disambiguation (via description) batch_69d31a39d73481908cf5713205f910fb completed April 6, 2026, 2:28 a.m.
Created at: March 30, 2026, 9:12 p.m.