Triple

T979290
Position Surface form Disambiguated ID Type / Status
Subject Böblingen E21129 entity
Predicate hasTwinTown P919 FINISHED
Object Salo
Salo is a town in southwestern Finland known for its electronics industry history and location along the Salo River.
 E116439 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: Salo | Statement: [Böblingen, hasTwinTown, Salo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Salo
Context triple: [Böblingen, hasTwinTown, Salo]
  • A. Paippalada
    Paippalada is one of the principal ancient recensions (śākhās) of the Atharvaveda, preserved mainly in the Paippalāda tradition of Vedic scholarship.
  • B. Bacon
    Bacon is a common English surname historically associated with notable figures such as the philosopher and statesman Francis Bacon.
  • C. Carnes
    Carnes is a surname of English origin borne by various individuals and fictional characters, including Ado Annie Carnes from the musical "Oklahoma!".
  • D. Zein
    Zein is the given name of Queen Zein al-Sharaf, a prominent 20th-century queen of Jordan known for her social and political influence.
  • E. Meatballs
    Meatballs is a 1979 comedy film that helped establish Bill Murray as a major comedic star through his role as an irreverent summer camp counselor.
  • 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: Salo
Triple: [Böblingen, hasTwinTown, Salo]
Generated description
Salo is a town in southwestern Finland known for its electronics industry history and location along the Salo River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Salo
Target entity description: Salo is a town in southwestern Finland known for its electronics industry history and location along the Salo River.
  • A. Paippalada
    Paippalada is one of the principal ancient recensions (śākhās) of the Atharvaveda, preserved mainly in the Paippalāda tradition of Vedic scholarship.
  • B. Bacon
    Bacon is a common English surname historically associated with notable figures such as the philosopher and statesman Francis Bacon.
  • C. Carnes
    Carnes is a surname of English origin borne by various individuals and fictional characters, including Ado Annie Carnes from the musical "Oklahoma!".
  • D. Zein
    Zein is the given name of Queen Zein al-Sharaf, a prominent 20th-century queen of Jordan known for her social and political influence.
  • E. Meatballs
    Meatballs is a 1979 comedy film that helped establish Bill Murray as a major comedic star through his role as an irreverent summer camp counselor.
  • 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_69a493c2b62c8190b616351789ec47f8 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b479e8f081908183448c36244e1f completed March 1, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac1cde59ac8190a04e3412805bc130 completed March 7, 2026, 12:41 p.m.
NEDg Description generation batch_69ac1d3b36c08190852dc68a1dc282f2 completed March 7, 2026, 12:42 p.m.
NED2 Entity disambiguation (via description) batch_69ac1ded444c81909a7b9f9e3869bd38 completed March 7, 2026, 12:45 p.m.
Created at: March 1, 2026, 7:40 p.m.