Triple

T4611803
Position Surface form Disambiguated ID Type / Status
Subject Hyphasis E100574 entity
Predicate relatedTo P37 FINISHED
Object Acesines
Acesines is the ancient Greek name for the Chenab River, a major river of the Punjab region in South Asia.
 E456121 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: Acesines | Statement: [Hyphasis, relatedTo, Acesines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Acesines
Context triple: [Hyphasis, relatedTo, Acesines]
  • A. Belchite
    Belchite is a historic town in northeastern Spain best known for the ruins left by a devastating Spanish Civil War battle, preserved as a memorial to the conflict.
  • B. Caleruega
    Caleruega is a small town in the province of Burgos, Spain, best known as the birthplace of Saint Dominic, founder of the Dominican Order.
  • C. Nalón
    The Nalón is a major river in Asturias, northern Spain, known for flowing through mountainous landscapes and historically supporting regional industry and mining.
  • D. Requena
    Requena is a historic inland town in Spain’s Valencian Community, known for its wine production and well-preserved medieval quarter.
  • E. Aguadas
    Aguadas is a historic Colombian town in the Caldas Department, known for its coffee culture, traditional hat-making, and well-preserved colonial architecture.
  • 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: Acesines
Triple: [Hyphasis, relatedTo, Acesines]
Generated description
Acesines is the ancient Greek name for the Chenab River, a major river of the Punjab region in South Asia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Acesines
Target entity description: Acesines is the ancient Greek name for the Chenab River, a major river of the Punjab region in South Asia.
  • A. Belchite
    Belchite is a historic town in northeastern Spain best known for the ruins left by a devastating Spanish Civil War battle, preserved as a memorial to the conflict.
  • B. Caleruega
    Caleruega is a small town in the province of Burgos, Spain, best known as the birthplace of Saint Dominic, founder of the Dominican Order.
  • C. Nalón
    The Nalón is a major river in Asturias, northern Spain, known for flowing through mountainous landscapes and historically supporting regional industry and mining.
  • D. Requena
    Requena is a historic inland town in Spain’s Valencian Community, known for its wine production and well-preserved medieval quarter.
  • E. Aguadas
    Aguadas is a historic Colombian town in the Caldas Department, known for its coffee culture, traditional hat-making, and well-preserved colonial architecture.
  • 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_69bd43cce1e08190a07d53af6a9b6c24 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd59bffbf08190b13ef0810e6f9d19 completed March 20, 2026, 2:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfa836f488190bb320e8cb393a286 completed March 21, 2026, 1:55 a.m.
NEDg Description generation batch_69bdfbea628c81908f96e706d650ef9f completed March 21, 2026, 2:01 a.m.
NED2 Entity disambiguation (via description) batch_69bdfc97fc54819093e0cff18a40bde2 completed March 21, 2026, 2:04 a.m.
Created at: March 20, 2026, 1:12 p.m.