Triple

T4376747
Position Surface form Disambiguated ID Type / Status
Subject Göta älv E99024 entity
Predicate majorCityOnRiver P316 FINISHED
Object Lilla Edet
Lilla Edet is a small Swedish town in Västra Götaland County known for its location along the Göta älv river and its historic locks and paper industry.
E435597 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: Lilla Edet | Statement: [Göta älv, majorCityOnRiver, Lilla Edet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lilla Edet
Context triple: [Göta älv, majorCityOnRiver, Lilla Edet]
  • A. Lilla Essingen
    Lilla Essingen is a small island and residential district in central Stockholm, known for its waterfront apartments and proximity to the city center.
  • B. Hjulsta
    Hjulsta is a suburb in northwestern Stockholm, Sweden, known for being the terminus of one of the Stockholm metro lines.
  • C. Kungsängen
    Kungsängen is a locality in Stockholm County, Sweden, serving as the administrative and population center of Upplands-Bro Municipality.
  • D. Bollstanäs
    Bollstanäs is a residential locality in Sweden situated within the suburban area of Upplands Väsby, north of Stockholm.
  • E. Pedersöre
    Pedersöre is a bilingual (Swedish- and Finnish-speaking) rural municipality in western Finland known for its agriculture and small-town communities.
  • 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: Lilla Edet
Triple: [Göta älv, majorCityOnRiver, Lilla Edet]
Generated description
Lilla Edet is a small Swedish town in Västra Götaland County known for its location along the Göta älv river and its historic locks and paper industry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lilla Edet
Target entity description: Lilla Edet is a small Swedish town in Västra Götaland County known for its location along the Göta älv river and its historic locks and paper industry.
  • A. Lilla Essingen
    Lilla Essingen is a small island and residential district in central Stockholm, known for its waterfront apartments and proximity to the city center.
  • B. Hjulsta
    Hjulsta is a suburb in northwestern Stockholm, Sweden, known for being the terminus of one of the Stockholm metro lines.
  • C. Kungsängen
    Kungsängen is a locality in Stockholm County, Sweden, serving as the administrative and population center of Upplands-Bro Municipality.
  • D. Bollstanäs
    Bollstanäs is a residential locality in Sweden situated within the suburban area of Upplands Väsby, north of Stockholm.
  • E. Pedersöre
    Pedersöre is a bilingual (Swedish- and Finnish-speaking) rural municipality in western Finland known for its agriculture and small-town communities.
  • 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_69b3454ea8f48190a49c2436624d6ef6 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3523d4e888190b4367ed6aa17d463 completed March 12, 2026, 11:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e51907688190ad964d341eb84529 completed March 14, 2026, 10:45 p.m.
NEDg Description generation batch_69b5e5d675808190a5a9767f253f0178 completed March 14, 2026, 10:48 p.m.
NED2 Entity disambiguation (via description) batch_69b5e66837e081908ac5a0079485cd18 completed March 14, 2026, 10:51 p.m.
Created at: March 12, 2026, 11:18 p.m.