Triple

T4316118
Position Surface form Disambiguated ID Type / Status
Subject Lielupe E96395 entity
Predicate hasTributary P415 FINISHED
Object Svete
Svete is a river in Latvia that serves as one of the tributaries feeding into the larger Lielupe River system.
 E430406 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: Svete | Statement: [Lielupe, hasTributary, Svete]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Svete
Context triple: [Lielupe, hasTributary, Svete]
  • A. Šolta
    Šolta is a small Croatian island in the Adriatic Sea, known for its tranquil villages, olive groves, and clear bays, located just off the coast from the city of Split.
  • B. Toliš
    Toliš is the endonym used by speakers of the Talysh language to refer to their own language or ethnic group in the Talysh region of Iran and Azerbaijan.
  • C. Sežana
    Sežana is a town in southwestern Slovenia near the Italian border, known as a regional center of the Karst area and an important transport and trade hub.
  • D. Neša
    Neša is the ancient name of the city of Kültepe, a major Bronze Age trading center and early Hittite capital in central Anatolia.
  • E. Jurjev
    Jurjev is a historical name for the Estonian city of Tartu, reflecting its past under various regional powers.
  • 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: Svete
Triple: [Lielupe, hasTributary, Svete]
Generated description
Svete is a river in Latvia that serves as one of the tributaries feeding into the larger Lielupe River system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Svete
Target entity description: Svete is a river in Latvia that serves as one of the tributaries feeding into the larger Lielupe River system.
  • A. Šolta
    Šolta is a small Croatian island in the Adriatic Sea, known for its tranquil villages, olive groves, and clear bays, located just off the coast from the city of Split.
  • B. Toliš
    Toliš is the endonym used by speakers of the Talysh language to refer to their own language or ethnic group in the Talysh region of Iran and Azerbaijan.
  • C. Sežana
    Sežana is a town in southwestern Slovenia near the Italian border, known as a regional center of the Karst area and an important transport and trade hub.
  • D. Neša
    Neša is the ancient name of the city of Kültepe, a major Bronze Age trading center and early Hittite capital in central Anatolia.
  • E. Jurjev
    Jurjev is a historical name for the Estonian city of Tartu, reflecting its past under various regional powers.
  • 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_69b345422aac81909ddbadae437d122e completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b350f60dfc819098202b7eb3bbf402 completed March 12, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d085f78481909bb6dd55bf06d9d6 completed March 14, 2026, 9:17 p.m.
NEDg Description generation batch_69b5d0f6d1d48190a3ecd1765043ac58 completed March 14, 2026, 9:19 p.m.
NED2 Entity disambiguation (via description) batch_69b5d18381288190948a7a0c42dc8cbf completed March 14, 2026, 9:22 p.m.
Created at: March 12, 2026, 11:12 p.m.