Triple

T867977
Position Surface form Disambiguated ID Type / Status
Subject Technical Management Board E18748 entity
Predicate shortName P43 FINISHED
Object TMB
TMB is the commonly used abbreviation for the Technical Management Board, a governing body that oversees and coordinates technical and standardization activities within its organization.
 E100877 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: TMB | Statement: [Technical Management Board, shortName, TMB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TMB
Context triple: [Technical Management Board, shortName, TMB]
  • A. TMS
    TMS (Test Mode Select) is the JTAG control signal used to navigate the TAP (Test Access Port) state machine in IEEE 1149.1 boundary-scan operations.
  • B. TB
    TB is the standard abbreviation for the Tampa Bay Rays, a Major League Baseball team based in St. Petersburg, Florida.
  • C. ATMB
    ATMB is a French company responsible for managing and operating major alpine transport infrastructure, including the Mont Blanc Tunnel.
  • D. T-MEC
    T-MEC is the Spanish-language name for the United States–Mexico–Canada Agreement, the trade pact that replaced NAFTA in North America.
  • E. TKM
    TKM is the three-letter ISO 3166-1 alpha-3 country code assigned to Turkmenistan.
  • 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: TMB
Triple: [Technical Management Board, shortName, TMB]
Generated description
TMB is the commonly used abbreviation for the Technical Management Board, a governing body that oversees and coordinates technical and standardization activities within its organization.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TMB
Target entity description: TMB is the commonly used abbreviation for the Technical Management Board, a governing body that oversees and coordinates technical and standardization activities within its organization.
  • A. TMS
    TMS (Test Mode Select) is the JTAG control signal used to navigate the TAP (Test Access Port) state machine in IEEE 1149.1 boundary-scan operations.
  • B. TB
    TB is the standard abbreviation for the Tampa Bay Rays, a Major League Baseball team based in St. Petersburg, Florida.
  • C. ATMB
    ATMB is a French company responsible for managing and operating major alpine transport infrastructure, including the Mont Blanc Tunnel.
  • D. T-MEC
    T-MEC is the Spanish-language name for the United States–Mexico–Canada Agreement, the trade pact that replaced NAFTA in North America.
  • E. TKM
    TKM is the three-letter ISO 3166-1 alpha-3 country code assigned to Turkmenistan.
  • 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_69a4938ce8688190a24bdfef82ba7d21 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac7f98908190883f71049092c7c8 completed March 1, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7a3c9e7ec819081d58634fe0efdcb completed March 4, 2026, 3:15 a.m.
NEDg Description generation batch_69a7a44c2d5881909d006ddf9f9ed694 completed March 4, 2026, 3:17 a.m.
NED2 Entity disambiguation (via description) batch_69a7a4a811bc819093bd436de45afa97 completed March 4, 2026, 3:19 a.m.
Created at: March 1, 2026, 7:39 p.m.