Triple

T7086645
Position Surface form Disambiguated ID Type / Status
Subject Beklemeto Pass E165091 entity
Predicate nearCity P350 FINISHED
Object Troyan
Troyan is a town in central Bulgaria, known for its proximity to the Balkan Mountains, traditional crafts, and the nearby Troyan Monastery.
 E640792 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: Troyan | Statement: [Beklemeto Pass, nearCity, Troyan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Troyan
Context triple: [Beklemeto Pass, nearCity, Troyan]
  • A. Troy
    Troy is a historic city in eastern New York State, known for its 19th-century architecture and role in the Industrial Revolution as a major manufacturing center.
  • B. Troy
    Troy is a 2004 epic historical war film loosely based on Homer's Iliad, depicting the legendary conflict between the Greeks and Trojans.
  • C. Troy
    Troy is the legendary ancient city in Asia Minor that was the focal point of the Trojan War in Greek and Roman mythology.
  • D. Troy
    Troy is a masculine given name of ancient origin, famously borne by former NFL quarterback Troy Aikman.
  • E. Troy
    Troy is a small city in southeastern Alabama known for being the home of Troy University and its vibrant college-town atmosphere.
  • 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: Troyan
Triple: [Beklemeto Pass, nearCity, Troyan]
Generated description
Troyan is a town in central Bulgaria, known for its proximity to the Balkan Mountains, traditional crafts, and the nearby Troyan Monastery.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Troyan
Target entity description: Troyan is a town in central Bulgaria, known for its proximity to the Balkan Mountains, traditional crafts, and the nearby Troyan Monastery.
  • A. Troy
    Troy is a historic city in eastern New York State, known for its 19th-century architecture and role in the Industrial Revolution as a major manufacturing center.
  • B. Troy
    Troy is a 2004 epic historical war film loosely based on Homer's Iliad, depicting the legendary conflict between the Greeks and Trojans.
  • C. Troy
    Troy is a small city in southeastern Alabama known for being the home of Troy University and its vibrant college-town atmosphere.
  • D. Troy
    Troy is the legendary ancient city in Asia Minor that was the focal point of the Trojan War in Greek and Roman mythology.
  • E. Troy
    Troy is a suburban city in Michigan known for its strong business community, shopping centers, and role as a key part of the Detroit metropolitan area.
  • 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_69c6887d98408190912b9580666b0c1d completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e513d9b08190a8a8d213c2264ce4 completed March 27, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79484a644819091fac0e361f77c91 completed March 28, 2026, 8:42 a.m.
NEDg Description generation batch_69c795cd08e081908c5f1a59e284063a completed March 28, 2026, 8:48 a.m.
NED2 Entity disambiguation (via description) batch_69c797711c78819098f9ac674728eb3b completed March 28, 2026, 8:55 a.m.
Created at: March 27, 2026, 2:41 p.m.