Triple

T5190057
Position Surface form Disambiguated ID Type / Status
Subject Nõmme E117129 entity
Predicate hasSubdivision P747 FINISHED
Object Männiku
Männiku is a residential subdistrict of the Nõmme district in Tallinn, Estonia, known for its forests, sand quarries, and military training areas.
 E501993 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: Männiku | Statement: [Nõmme, hasSubdivision, Männiku]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Männiku
Context triple: [Nõmme, hasSubdivision, Männiku]
  • A. Mies
    Mies is a small Swiss municipality in the canton of Vaud, located along Lake Geneva near the city of Geneva.
  • B. Mann
    Mann is a common German surname borne by numerous notable figures in literature, politics, and the arts.
  • C. Menen
    Menen is a town in the Belgian province of West Flanders, located near the border with France.
  • D. Mannam
    Mannam is a musical composition by Mexican composer Javier Álvarez, known for his innovative use of contemporary techniques and often electroacoustic elements.
  • E. Johan
    Johan is the given first name of the Swedish playwright and novelist August Strindberg.
  • 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: Männiku
Triple: [Nõmme, hasSubdivision, Männiku]
Generated description
Männiku is a residential subdistrict of the Nõmme district in Tallinn, Estonia, known for its forests, sand quarries, and military training areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Männiku
Target entity description: Männiku is a residential subdistrict of the Nõmme district in Tallinn, Estonia, known for its forests, sand quarries, and military training areas.
  • A. Mies
    Mies is a small Swiss municipality in the canton of Vaud, located along Lake Geneva near the city of Geneva.
  • B. Mann
    Mann is a common German surname borne by numerous notable figures in literature, politics, and the arts.
  • C. Menen
    Menen is a town in the Belgian province of West Flanders, located near the border with France.
  • D. Mannam
    Mannam is a musical composition by Mexican composer Javier Álvarez, known for his innovative use of contemporary techniques and often electroacoustic elements.
  • E. Johan
    Johan is the given first name of the Swedish playwright and novelist August Strindberg.
  • 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_69bd44620ff48190bcac01782107a397 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd79ebbfd081909a19b903c227fc1f completed March 20, 2026, 4:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69bee08dfe648190a98b5a61f857d593 completed March 21, 2026, 6:16 p.m.
NEDg Description generation batch_69bee66191dc8190847fe13f2cda0000 completed March 21, 2026, 6:41 p.m.
NED2 Entity disambiguation (via description) batch_69bee6e8bbcc819094f5f04743eb4013 completed March 21, 2026, 6:43 p.m.
Created at: March 20, 2026, 1:46 p.m.