Triple

T21406608
Position Surface form Disambiguated ID Type / Status
Subject Astara District E528050 entity
Predicate hasSettlement P1068 FINISHED
Object Archivan
Archivan is a village located within the Astara District of southeastern Azerbaijan, near the border with Iran.
 E1482896 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: Archivan | Statement: [Astara District, hasSettlement, Archivan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Archivan
Context triple: [Astara District, hasSettlement, Archivan]
  • A. ARCOM
    ARCOM is the French regulatory authority overseeing audiovisual and digital communication, created to succeed and expand the role of the former Conseil supérieur de l’audiovisuel.
  • B. ARC
    ARC is a family of configurable 32-bit RISC processor architectures commonly used in embedded and SoC designs.
  • C. ARC
    ARC is the commonly used acronym for the Augmentation Research Center, a pioneering research group known for its early work on interactive computing and human–computer interaction.
  • D. ARC
    ARC is the Atlanta Regional Commission, a regional planning and intergovernmental coordination agency serving the metropolitan Atlanta area.
  • E. ARC
    ARC is a U.S. federal farm safety net program that provides income support to agricultural producers when their revenue or crop prices fall below guaranteed levels.
  • 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: Archivan
Triple: [Astara District, hasSettlement, Archivan]
Generated description
Archivan is a village located within the Astara District of southeastern Azerbaijan, near the border with Iran.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Archivan
Target entity description: Archivan is a village located within the Astara District of southeastern Azerbaijan, near the border with Iran.
  • A. ARCOM
    ARCOM is the French regulatory authority overseeing audiovisual and digital communication, created to succeed and expand the role of the former Conseil supérieur de l’audiovisuel.
  • B. ARC
    ARC is a family of configurable 32-bit RISC processor architectures commonly used in embedded and SoC designs.
  • C. ARC
    ARC is the commonly used acronym for the Augmentation Research Center, a pioneering research group known for its early work on interactive computing and human–computer interaction.
  • D. ARC
    ARC is the Atlanta Regional Commission, a regional planning and intergovernmental coordination agency serving the metropolitan Atlanta area.
  • E. ARC
    ARC is a U.S. federal farm safety net program that provides income support to agricultural producers when their revenue or crop prices fall below guaranteed levels.
  • 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_69e0b520ee3c8190abddbee7e37e834c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b1b08fdc81909b3ba01add5f6484 completed April 22, 2026, 11:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09bb559d248190bef01cb86020d29c completed May 17, 2026, 12:57 p.m.
NEDg Description generation batch_6a09bea4a674819093d5bfb9e6fe69b9 completed May 17, 2026, 1:12 p.m.
NED2 Entity disambiguation (via description) batch_6a09bf9d2d508190a45847afa0d47337 completed May 17, 2026, 1:16 p.m.
Created at: April 16, 2026, 5:32 p.m.