Triple

T5394369
Position Surface form Disambiguated ID Type / Status
Subject Fittja E120612 entity
Predicate adjacentTo P224 FINISHED
Object Masmo
Masmo is a residential district in the southern suburbs of Stockholm, Sweden, known for its metro station on the red line and proximity to green areas and Lake Mälaren.
E517327 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: Masmo | Statement: [Fittja, adjacentTo, Masmo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Masmo
Context triple: [Fittja, adjacentTo, Masmo]
  • A. Myaso
    Myaso is a colloquial nickname used by fans and rivals to refer to the Russian football club Spartak Moscow, reflecting its historical association with the meat industry.
  • B. Mutso
    Mutso is a remote medieval mountain village and fortress complex in northeastern Georgia, renowned for its dramatic clifftop location and stone defensive towers.
  • C. Mamati
    Mamati is a village in western Georgia notable as the birthplace of former Soviet and Georgian politician Eduard Shevardnadze.
  • D. Masa
    Masa is a Central Chadic language spoken primarily in parts of Cameroon and Chad.
  • E. Mamula
    Mamula is a small fortified island in the Adriatic Sea off the coast of Montenegro, known for its 19th-century Austro-Hungarian fortress and former use as a prison.
  • 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: Masmo
Triple: [Fittja, adjacentTo, Masmo]
Generated description
Masmo is a residential district in the southern suburbs of Stockholm, Sweden, known for its metro station on the red line and proximity to green areas and Lake Mälaren.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Masmo
Target entity description: Masmo is a residential district in the southern suburbs of Stockholm, Sweden, known for its metro station on the red line and proximity to green areas and Lake Mälaren.
  • A. Myaso
    Myaso is a colloquial nickname used by fans and rivals to refer to the Russian football club Spartak Moscow, reflecting its historical association with the meat industry.
  • B. Mutso
    Mutso is a remote medieval mountain village and fortress complex in northeastern Georgia, renowned for its dramatic clifftop location and stone defensive towers.
  • C. Mamati
    Mamati is a village in western Georgia notable as the birthplace of former Soviet and Georgian politician Eduard Shevardnadze.
  • D. Masa
    Masa is a Central Chadic language spoken primarily in parts of Cameroon and Chad.
  • E. Mamula
    Mamula is a small fortified island in the Adriatic Sea off the coast of Montenegro, known for its 19th-century Austro-Hungarian fortress and former use as a prison.
  • 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_69bd4637b92c8190b815b6443ae4b323 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd87441a208190b79561614759894b completed March 20, 2026, 5:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf336d43a081909ab05d237c297c7b completed March 22, 2026, 12:10 a.m.
NEDg Description generation batch_69bf33e3b9ac819091cb000a98a505cd completed March 22, 2026, 12:12 a.m.
NED2 Entity disambiguation (via description) batch_69bf349a746481909a8ba2a854e29449 completed March 22, 2026, 12:15 a.m.
Created at: March 20, 2026, 2:04 p.m.