Triple

T19101502
Position Surface form Disambiguated ID Type / Status
Subject Aparan E467540 entity
Predicate formerName P65 FINISHED
Object Bash Aparan
Bash Aparan is the former name of the Armenian town now known as Aparan, located in the Aragatsotn Province.
 E1358482 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: Bash Aparan | Statement: [Aparan, formerName, Bash Aparan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bash Aparan
Context triple: [Aparan, formerName, Bash Aparan]
  • A. Bastico
    Bastico is the surname of Ettore Bastico, an Italian military officer and Marshal of Italy during World War II.
  • B. Bakoteh
    Bakoteh is a residential neighborhood within the urban area of Serekunda in The Gambia.
  • C. Barcha
    Barcha is the surname of Mercedes Barcha, the Colombian wife and lifelong companion of Nobel Prize–winning author Gabriel García Márquez.
  • D. Bajool
    Bajool is a small rural locality in Central Queensland, Australia, situated south of Rockhampton and known for its agricultural surroundings and proximity to transport routes.
  • E. Bamba
    Bamba is a given name most notably borne by Bamba Müller, the Egyptian wife of Maharaja Duleep Singh of the Sikh Empire.
  • 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: Bash Aparan
Triple: [Aparan, formerName, Bash Aparan]
Generated description
Bash Aparan is the former name of the Armenian town now known as Aparan, located in the Aragatsotn Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bash Aparan
Target entity description: Bash Aparan is the former name of the Armenian town now known as Aparan, located in the Aragatsotn Province.
  • A. Bastico
    Bastico is the surname of Ettore Bastico, an Italian military officer and Marshal of Italy during World War II.
  • B. Bakoteh
    Bakoteh is a residential neighborhood within the urban area of Serekunda in The Gambia.
  • C. Barcha
    Barcha is the surname of Mercedes Barcha, the Colombian wife and lifelong companion of Nobel Prize–winning author Gabriel García Márquez.
  • D. Bajool
    Bajool is a small rural locality in Central Queensland, Australia, situated south of Rockhampton and known for its agricultural surroundings and proximity to transport routes.
  • E. Bamba
    Bamba is a given name most notably borne by Bamba Müller, the Egyptian wife of Maharaja Duleep Singh of the Sikh Empire.
  • 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_69d8dd05ac4c8190b1967d8f97f3fb2f completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e36de7bc8190b353ed59e12e4631 completed April 20, 2026, 8:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05dd9dae4c8190ae5950a27ac670cb completed May 14, 2026, 2:35 p.m.
NEDg Description generation batch_6a05e0a88664819083e3385c1cc5db34 completed May 14, 2026, 2:48 p.m.
NED2 Entity disambiguation (via description) batch_6a05e12912e4819089dfef296b0f8980 completed May 14, 2026, 2:50 p.m.
Created at: April 10, 2026, 12:04 p.m.