Triple

T1831366
Position Surface form Disambiguated ID Type / Status
Subject GNOME E40767 entity
Predicate hasComponent P35 FINISHED
Object GDM
GDM (GNOME Display Manager) is the graphical login and session management system used by the GNOME desktop environment on Unix-like operating systems.
 E203872 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: GDM | Statement: [GNOME, hasComponent, GDM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GDM
Context triple: [GNOME, hasComponent, GDM]
  • A. GDN
    GDN is the vehicle registration code assigned to motor vehicles registered in the Pomeranian Voivodeship of Poland.
  • B. DME
    DME is the IATA airport code for Moscow’s Domodedovo International Airport, one of the major airports serving the Russian capital.
  • C. MDH
    MDH is the acronym for the Maryland Department of Health, the state agency responsible for public health services, policy, and regulation in Maryland.
  • D. CDG
    CDG is the IATA airport code for Charles de Gaulle Airport, the main international airport serving Paris and one of Europe’s busiest air hubs.
  • E. GUM
    GUM is the IATA airport code for Antonio B. Won Pat International Airport, the main commercial airport serving Guam in the western Pacific.
  • 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: GDM
Triple: [GNOME, hasComponent, GDM]
Generated description
GDM (GNOME Display Manager) is the graphical login and session management system used by the GNOME desktop environment on Unix-like operating systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GDM
Target entity description: GDM (GNOME Display Manager) is the graphical login and session management system used by the GNOME desktop environment on Unix-like operating systems.
  • A. GDN
    GDN is the vehicle registration code assigned to motor vehicles registered in the Pomeranian Voivodeship of Poland.
  • B. DME
    DME is the IATA airport code for Moscow’s Domodedovo International Airport, one of the major airports serving the Russian capital.
  • C. MDH
    MDH is the acronym for the Maryland Department of Health, the state agency responsible for public health services, policy, and regulation in Maryland.
  • D. CDG
    CDG is the IATA airport code for Charles de Gaulle Airport, the main international airport serving Paris and one of Europe’s busiest air hubs.
  • E. GUM
    GUM is the IATA airport code for Antonio B. Won Pat International Airport, the main commercial airport serving Guam in the western Pacific.
  • 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_69a8864644bc8190b2358ab897194ac1 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb022aef48190975b6d12fc6681ad completed March 7, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69adbf6f212c8190b0d182f8486d9e47 completed March 8, 2026, 6:26 p.m.
NEDg Description generation batch_69adc080abb88190883c35943dc7cb10 completed March 8, 2026, 6:31 p.m.
NED2 Entity disambiguation (via description) batch_69adc13330888190a2b99c6fcbb97d49 completed March 8, 2026, 6:34 p.m.
Created at: March 4, 2026, 7:32 p.m.