Triple

T11946195
Position Surface form Disambiguated ID Type / Status
Subject Polezhan E284303 entity
Predicate accessTrailhead P30481 FINISHED
Object Bezbog hut
Bezbog hut is a popular mountain lodge in Bulgaria’s Pirin Mountains, serving as a key base for hikers and climbers heading toward nearby peaks such as Polezhan.
 E955865 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: Bezbog hut | Statement: [Polezhan, accessTrailhead, Bezbog hut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bezbog hut
Context triple: [Polezhan, accessTrailhead, Bezbog hut]
  • A. Le Hutin
    Le Hutin is the French nickname of King Louis X of France, referring to his reputation as a quarrelsome or stubborn ruler.
  • B. El Basatin
    El Basatin is a district in the southern part of Cairo, Egypt, known primarily as a residential area within the Cairo Governorate.
  • C. Buloburde
    Buloburde is a town in central Somalia located in the Hirshabelle State region.
  • D. La barraca
    La barraca is a naturalist novel by Spanish writer Vicente Blasco Ibáñez that portrays the harsh rural life and social conflicts of Valencian peasants.
  • E. Bumehen
    Bumehen is a city in Iran that serves as one of the urban settlements within Pardis County, near Tehran.
  • 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: Bezbog hut
Triple: [Polezhan, accessTrailhead, Bezbog hut]
Generated description
Bezbog hut is a popular mountain lodge in Bulgaria’s Pirin Mountains, serving as a key base for hikers and climbers heading toward nearby peaks such as Polezhan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bezbog hut
Target entity description: Bezbog hut is a popular mountain lodge in Bulgaria’s Pirin Mountains, serving as a key base for hikers and climbers heading toward nearby peaks such as Polezhan.
  • A. Le Hutin
    Le Hutin is the French nickname of King Louis X of France, referring to his reputation as a quarrelsome or stubborn ruler.
  • B. El Basatin
    El Basatin is a district in the southern part of Cairo, Egypt, known primarily as a residential area within the Cairo Governorate.
  • C. Buloburde
    Buloburde is a town in central Somalia located in the Hirshabelle State region.
  • D. La barraca
    La barraca is a naturalist novel by Spanish writer Vicente Blasco Ibáñez that portrays the harsh rural life and social conflicts of Valencian peasants.
  • E. Bumehen
    Bumehen is a city in Iran that serves as one of the urban settlements within Pardis County, near Tehran.
  • 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_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903456ec0819082b8b10755a6b732 completed April 10, 2026, 2:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69f458cbb08881909a71f0592c9231ae completed May 1, 2026, 7:39 a.m.
NEDg Description generation batch_69f4645a7038819089d7533715f8a430 completed May 1, 2026, 8:29 a.m.
NED2 Entity disambiguation (via description) batch_69f4664ff9608190b23e29b3e5c1c326 completed May 1, 2026, 8:37 a.m.
Created at: April 8, 2026, 9:45 p.m.