Triple

T8833226
Position Surface form Disambiguated ID Type / Status
Subject Burgas Province E210197 entity
Predicate contains P35 FINISHED
Object Sungurlare
Sungurlare is a small town and municipality in southeastern Bulgaria, known for its wine production and agricultural surroundings.
E760001 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: Sungurlare | Statement: [Burgas Province, contains, Sungurlare]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sungurlare
Context triple: [Burgas Province, contains, Sungurlare]
  • A. Šurany
    Šurany is a small town in southwestern Slovakia known for its agricultural surroundings and historical roots in the Nitra region.
  • B. Lalsalu
    Lalsalu is a classic Bengali novel by Syed Waliullah that explores religious hypocrisy and rural life in East Bengal.
  • C. Saravena
    Saravena is a Colombian town and municipality located in the northeastern oil-producing and conflict-affected region near the border with Venezuela.
  • D. Selaaru
    Selaaru is an Austronesian language spoken on Selaru Island in Indonesia’s Tanimbar Islands.
  • E. Sinnuris
    Sinnuris is a town and administrative center located in Egypt’s Faiyum Governorate, known for its agricultural surroundings and proximity to Lake Qarun.
  • 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: Sungurlare
Triple: [Burgas Province, contains, Sungurlare]
Generated description
Sungurlare is a small town and municipality in southeastern Bulgaria, known for its wine production and agricultural surroundings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sungurlare
Target entity description: Sungurlare is a small town and municipality in southeastern Bulgaria, known for its wine production and agricultural surroundings.
  • A. Šurany
    Šurany is a small town in southwestern Slovakia known for its agricultural surroundings and historical roots in the Nitra region.
  • B. Lalsalu
    Lalsalu is a classic Bengali novel by Syed Waliullah that explores religious hypocrisy and rural life in East Bengal.
  • C. Saravena
    Saravena is a Colombian town and municipality located in the northeastern oil-producing and conflict-affected region near the border with Venezuela.
  • D. Selaaru
    Selaaru is an Austronesian language spoken on Selaru Island in Indonesia’s Tanimbar Islands.
  • E. Sinnuris
    Sinnuris is a town and administrative center located in Egypt’s Faiyum Governorate, known for its agricultural surroundings and proximity to Lake Qarun.
  • 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_69ca8388549c819095fd94eadefbb007 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc60670fa48190b2a873f6498de7f6 completed April 1, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69cf8975a6f481908ee435d0435c8ffb completed April 3, 2026, 9:33 a.m.
NEDg Description generation batch_69cf8a8e5db0819080e6fdc3d8322e94 completed April 3, 2026, 9:38 a.m.
NED2 Entity disambiguation (via description) batch_69cf8b8849ec8190915fa087b1b46c18 completed April 3, 2026, 9:42 a.m.
Created at: March 30, 2026, 6:47 p.m.