Triple

T8159629
Position Surface form Disambiguated ID Type / Status
Subject Malard County E190542 entity
Predicate capital P234 FINISHED
Object Malard
Malard is a city in Tehran Province, Iran, known as an urban and administrative center within the Malard County region.
 E715266 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: Malard | Statement: [Malard County, capital, Malard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Malard
Context triple: [Malard County, capital, Malard]
  • A. Mauzy
    Mauzy is the surname of American actress Mackenzie Mauzy, known for her roles in television and film.
  • B. Marly
    Marly is a French locality historically associated with royal architecture and landscape design, notably linked to the works of architect Jules Hardouin-Mansart.
  • C. Rhyll
    Rhyll is a small coastal village and fishing port on Phillip Island in Victoria, Australia, known for its tranquil bay views and access to local wildlife and marine activities.
  • D. Mümling
    The Mümling is a river in the Odenwald region of Germany that flows through Hesse and Bavaria before joining the Main.
  • E. Lamme
    Lamme was an influential figure in electrical engineering whose legacy is honored by the AIEE Lamme Medal.
  • 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: Malard
Triple: [Malard County, capital, Malard]
Generated description
Malard is a city in Tehran Province, Iran, known as an urban and administrative center within the Malard County region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Malard
Target entity description: Malard is a city in Tehran Province, Iran, known as an urban and administrative center within the Malard County region.
  • A. Mauzy
    Mauzy is the surname of American actress Mackenzie Mauzy, known for her roles in television and film.
  • B. Marly
    Marly is a French locality historically associated with royal architecture and landscape design, notably linked to the works of architect Jules Hardouin-Mansart.
  • C. Rhyll
    Rhyll is a small coastal village and fishing port on Phillip Island in Victoria, Australia, known for its tranquil bay views and access to local wildlife and marine activities.
  • D. Mümling
    The Mümling is a river in the Odenwald region of Germany that flows through Hesse and Bavaria before joining the Main.
  • E. Lamme
    Lamme was an influential figure in electrical engineering whose legacy is honored by the AIEE Lamme Medal.
  • 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_69ca82bfeb6481909d07b91b5cf69f59 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb45537d248190a0e998b6d336e6e1 completed March 31, 2026, 3:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbf21ab2c8190af23b4a3a4bdb543 completed April 1, 2026, 6:45 a.m.
NEDg Description generation batch_69ccc24c5684819093a4f58616122675 completed April 1, 2026, 6:59 a.m.
NED2 Entity disambiguation (via description) batch_69ccc38e85bc8190b0f4b2435a385f47 completed April 1, 2026, 7:04 a.m.
Created at: March 30, 2026, 5:38 p.m.