Triple

T9098194
Position Surface form Disambiguated ID Type / Status
Subject Žilina E218081 entity
Predicate historicalName P65 FINISHED
Object Sillein
Sillein is the historical German name for the Slovak city of Žilina, an important regional center in northwestern Slovakia.
E778051 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: Sillein | Statement: [Žilina, historicalName, Sillein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sillein
Context triple: [Žilina, historicalName, Sillein]
  • A. Sille
    Sille is a historic village near Konya in central Turkey, known for its ancient rock-cut architecture and long-standing Greek Orthodox and Turkish cultural heritage.
  • B. Silloi
    Silloi is a lost satirical poem by the pre-Socratic philosopher Xenophanes of Colophon, in which he mocked and critiqued the anthropomorphic depiction of the gods and the ideas of earlier thinkers.
  • C. Ylla
    Ylla is a short story by Ray Bradbury, set on Mars and exploring the inner life and unfulfilled desires of a Martian woman.
  • D. Neilia
    Neilia was an American educator best known as the first wife of Joe Biden, who tragically died in a car accident in 1972 along with their infant daughter.
  • E. Leineaue
    Leineaue is the natural floodplain landscape along the River Leine, characterized by periodically inundated meadows, wetlands, and riparian habitats.
  • 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: Sillein
Triple: [Žilina, historicalName, Sillein]
Generated description
Sillein is the historical German name for the Slovak city of Žilina, an important regional center in northwestern Slovakia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sillein
Target entity description: Sillein is the historical German name for the Slovak city of Žilina, an important regional center in northwestern Slovakia.
  • A. Sille
    Sille is a historic village near Konya in central Turkey, known for its ancient rock-cut architecture and long-standing Greek Orthodox and Turkish cultural heritage.
  • B. Silloi
    Silloi is a lost satirical poem by the pre-Socratic philosopher Xenophanes of Colophon, in which he mocked and critiqued the anthropomorphic depiction of the gods and the ideas of earlier thinkers.
  • C. Ylla
    Ylla is a short story by Ray Bradbury, set on Mars and exploring the inner life and unfulfilled desires of a Martian woman.
  • D. Neilia
    Neilia was an American educator best known as the first wife of Joe Biden, who tragically died in a car accident in 1972 along with their infant daughter.
  • E. Leineaue
    Leineaue is the natural floodplain landscape along the River Leine, characterized by periodically inundated meadows, wetlands, and riparian habitats.
  • 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_69ca83d9844081908e561e367fda6d45 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc970f340881909f5551219f151acf completed April 1, 2026, 3:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69d01824ee2081909cc5e6ae33fab2e5 completed April 3, 2026, 7:42 p.m.
NEDg Description generation batch_69d019666cb08190b66298ff86a7e1af completed April 3, 2026, 7:47 p.m.
NED2 Entity disambiguation (via description) batch_69d01a700ce48190868d445bde2462dc completed April 3, 2026, 7:52 p.m.
Created at: March 30, 2026, 7:15 p.m.