Triple

T9418113
Position Surface form Disambiguated ID Type / Status
Subject Žilina Region E227080 entity
Predicate contains P35 FINISHED
Object Martin
Martin is a city in northern Slovakia known as an important cultural and historical center, particularly for Slovak national life and institutions.
E300710 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: Martin | Statement: [Žilina Region, contains, Martin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martin
Context triple: [Žilina Region, contains, Martin]
  • A. Martin
    Martin is the given name of Martin Luther King Jr., the prominent American civil rights leader and Baptist minister who advocated nonviolent resistance to racial segregation.
  • B. Martin
    Martin is the central protagonist of the 1991 psychological thriller film "Proof," around whom the story’s exploration of trust, perception, and human connection revolves.
  • C. Martin
    Martin is a masculine given name of Latin origin, commonly used in many European languages.
  • D. Martin
    Martin was the given name of Martin I of Aragon, a medieval king who ruled the Crown of Aragon at the turn of the 15th century.
  • E. Martin
    Martin is a character in Don DeLillo’s novel "Falling Man," which explores the personal and psychological aftermath of the September 11 attacks.
  • 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: Martin
Triple: [Žilina Region, contains, Martin]
Generated description
Martin is a city in northern Slovakia known as an important cultural and historical center, particularly for Slovak national life and institutions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Martin
Target entity description: Martin is a city in northern Slovakia known as an important cultural and historical center, particularly for Slovak national life and institutions.
  • A. Martin chosen
    Martin is a city in central Slovakia known as a historical center of Slovak culture and national revival.
  • B. Martin
    Martin is a common surname of European origin, widely borne by individuals across many countries and cultures.
  • C. Martin
    Martin is a masculine given name of Latin origin, commonly used in many European languages.
  • D. Martin
    Martin is the given name of Martin Luther King Jr., the prominent American civil rights leader and Baptist minister who advocated nonviolent resistance to racial segregation.
  • E. Martin
    Martin is the given name of Martin Luther the Younger, a 16th-century German theologian and the son of Protestant Reformation leader Martin Luther.
  • F. None of above.

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_69ca84359e7c819091148ba4b670e436 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd68cd1e3481909abcb715e2398120 completed April 1, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69d107b63cf48190a072e3434a7b85a8 completed April 4, 2026, 12:44 p.m.
NEDg Description generation batch_69d108477df08190b529426b09eb6e5a completed April 4, 2026, 12:47 p.m.
NED2 Entity disambiguation (via description) batch_69d108dbc1948190967c56ad877659cb completed April 4, 2026, 12:49 p.m.
Created at: March 30, 2026, 7:48 p.m.