Triple

T4542429
Position Surface form Disambiguated ID Type / Status
Subject Piran E107565 entity
Predicate hasMajorSettlement P316 FINISHED
Object Seča
Seča is a small coastal settlement in southwestern Slovenia, situated near the town of Piran on the Adriatic Sea.
E451303 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: Seča | Statement: [Piran, hasMajorSettlement, Seča]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seča
Context triple: [Piran, hasMajorSettlement, Seča]
  • A. Sézenove
    Sézenove is a small village in the municipality of Bernex in the canton of Geneva, Switzerland.
  • B. Sedova
    Sedova is a Russian surname most notably associated with revolutionary figure Natalia Sedova, the second wife of Leon Trotsky.
  • C. Musina
    Musina is a northern South African town in Limpopo Province, known as a key border and transport hub near Zimbabwe and for its history of copper and iron ore mining.
  • D. Trizina
    Trizina is a modern Greek settlement located near the ancient city of Troezen in the northeastern Peloponnese.
  • E. Banski Suhodol
    Banski Suhodol is a prominent high-altitude peak in Bulgaria’s Pirin mountain range, known for its rugged terrain and alpine scenery.
  • 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: Seča
Triple: [Piran, hasMajorSettlement, Seča]
Generated description
Seča is a small coastal settlement in southwestern Slovenia, situated near the town of Piran on the Adriatic Sea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Seča
Target entity description: Seča is a small coastal settlement in southwestern Slovenia, situated near the town of Piran on the Adriatic Sea.
  • A. Sézenove
    Sézenove is a small village in the municipality of Bernex in the canton of Geneva, Switzerland.
  • B. Sedova
    Sedova is a Russian surname most notably associated with revolutionary figure Natalia Sedova, the second wife of Leon Trotsky.
  • C. Musina
    Musina is a northern South African town in Limpopo Province, known as a key border and transport hub near Zimbabwe and for its history of copper and iron ore mining.
  • D. Trizina
    Trizina is a modern Greek settlement located near the ancient city of Troezen in the northeastern Peloponnese.
  • E. Banski Suhodol
    Banski Suhodol is a prominent high-altitude peak in Bulgaria’s Pirin mountain range, known for its rugged terrain and alpine scenery.
  • 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_69bd43f922788190b7edfa294e39b178 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd57d3be988190bf118c4a87415613 completed March 20, 2026, 2:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdb926f2608190bdc6379e81358c38 completed March 20, 2026, 9:16 p.m.
NEDg Description generation batch_69bdbe0b6aa88190b6e99e4be1b27935 completed March 20, 2026, 9:37 p.m.
NED2 Entity disambiguation (via description) batch_69bdbe5eda748190b6d83d5f2c73cff5 completed March 20, 2026, 9:38 p.m.
Created at: March 20, 2026, 1:04 p.m.