Triple

T17252959
Position Surface form Disambiguated ID Type / Status
Subject Battle of Resaena E418803 entity
Predicate place P373 FINISHED
Object Resaena
Resaena was an ancient city in northern Mesopotamia, strategically located on key trade and military routes between the Roman and Persian empires.
 E1259096 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: Resaena | Statement: [Battle of Resaena, place, Resaena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Resaena
Context triple: [Battle of Resaena, place, Resaena]
  • A. Resega
    Resega is the former name of the ice hockey arena in Lugano, Switzerland, now known as Cornèr Arena.
  • B. Bastida
    Bastida is a Spanish surname notably borne by the renowned painter Joaquín Sorolla y Bastida.
  • C. Rechiar
    Rechiar was a 5th-century king of the Suebi in Gallaecia, notable for being one of the first Germanic rulers to convert to Catholic Christianity and for his active role in the politics of the collapsing Western Roman Empire.
  • D. Abasolo
    Abasolo is a Spanish-language surname of Basque origin borne by various notable individuals and families.
  • E. Ráquira
    Ráquira is a Colombian town renowned for its traditional pottery, colorful handicrafts, and vibrant 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: Resaena
Triple: [Battle of Resaena, place, Resaena]
Generated description
Resaena was an ancient city in northern Mesopotamia, strategically located on key trade and military routes between the Roman and Persian empires.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Resaena
Target entity description: Resaena was an ancient city in northern Mesopotamia, strategically located on key trade and military routes between the Roman and Persian empires.
  • A. Resega
    Resega is the former name of the ice hockey arena in Lugano, Switzerland, now known as Cornèr Arena.
  • B. Bastida
    Bastida is a Spanish surname notably borne by the renowned painter Joaquín Sorolla y Bastida.
  • C. Rechiar
    Rechiar was a 5th-century king of the Suebi in Gallaecia, notable for being one of the first Germanic rulers to convert to Catholic Christianity and for his active role in the politics of the collapsing Western Roman Empire.
  • D. Abasolo
    Abasolo is a Spanish-language surname of Basque origin borne by various notable individuals and families.
  • E. Ráquira
    Ráquira is a Colombian town renowned for its traditional pottery, colorful handicrafts, and vibrant 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_69d886d9ab108190b70edd8d17aa1204 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e6a1b648190a8bb2deb67bbdfdc completed April 19, 2026, 1:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0170fb89248190ae431ce51dfeaffd completed May 11, 2026, 6:02 a.m.
NEDg Description generation batch_6a017258cb9c8190baa828104d30fdbf completed May 11, 2026, 6:08 a.m.
NED2 Entity disambiguation (via description) batch_6a017620d2d8819099292be7bc4db4df completed May 11, 2026, 6:24 a.m.
Created at: April 10, 2026, 5:39 a.m.