Triple

T1133799
Position Surface form Disambiguated ID Type / Status
Subject Theodor Mommsen E23091 entity
Predicate birthPlace P1 FINISHED
Object Garding
Garding is a small town in the Nordfriesland district of Schleswig-Holstein in northern Germany.
 E130980 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: Garding | Statement: [Theodor Mommsen, birthPlace, Garding]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Garding
Context triple: [Theodor Mommsen, birthPlace, Garding]
  • A. Heed
    Heed is the fiercely loyal yet conflicted protagonist of Toni Morrison’s novel "Love," whose lifelong bond and rivalry with her friend Christine drive much of the story’s emotional and thematic tension.
  • B. Outer Ward
    The Outer Ward is the defensive outer enclosure of the Tower of London, consisting of walls, towers, and fortifications that formed the first line of the castle’s protection.
  • C. Gard
    Gard is a department in southern France known for its Mediterranean landscapes, historic towns, and the famous Pont du Gard Roman aqueduct.
  • D. Gatekeeper
    Gatekeeper is a macOS security feature that helps protect users by allowing only trusted software to run on the system.
  • E. Gyddanyzc
    Gyddanyzc is an early historical name for the Polish port city of Gdańsk on the Baltic Sea.
  • 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: Garding
Triple: [Theodor Mommsen, birthPlace, Garding]
Generated description
Garding is a small town in the Nordfriesland district of Schleswig-Holstein in northern Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Garding
Target entity description: Garding is a small town in the Nordfriesland district of Schleswig-Holstein in northern Germany.
  • A. Heed
    Heed is the fiercely loyal yet conflicted protagonist of Toni Morrison’s novel "Love," whose lifelong bond and rivalry with her friend Christine drive much of the story’s emotional and thematic tension.
  • B. Outer Ward
    The Outer Ward is the defensive outer enclosure of the Tower of London, consisting of walls, towers, and fortifications that formed the first line of the castle’s protection.
  • C. Gard
    Gard is a department in southern France known for its Mediterranean landscapes, historic towns, and the famous Pont du Gard Roman aqueduct.
  • D. Gatekeeper
    Gatekeeper is a macOS security feature that helps protect users by allowing only trusted software to run on the system.
  • E. Gyddanyzc
    Gyddanyzc is an early historical name for the Polish port city of Gdańsk on the Baltic Sea.
  • 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_69a493ec75988190b63a11bafaec29b4 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bbfe68008190b2307b8107f06a08 completed March 1, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac59ac2ea881908b9559ff9d47077a completed March 7, 2026, 5 p.m.
NEDg Description generation batch_69ac5a38ebb0819091cb81e23770ae50 completed March 7, 2026, 5:02 p.m.
NED2 Entity disambiguation (via description) batch_69ac5aa2ad188190b4c6a29e3c2c8d79 completed March 7, 2026, 5:04 p.m.
Created at: March 1, 2026, 7:44 p.m.