Triple

T3916614
Position Surface form Disambiguated ID Type / Status
Subject Estadio Cuscatlán E88855 entity
Predicate operator P179 FINISHED
Object EDESSA
EDESSA is the company responsible for managing and operating Estadio Cuscatlán, one of the largest and most important football stadiums in El Salvador.
 E400027 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: EDESSA | Statement: [Estadio Cuscatlán, operator, EDESSA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: EDESSA
Context triple: [Estadio Cuscatlán, operator, EDESSA]
  • A. Edessa
    Edessa is a historic city in northern Greece renowned for its picturesque waterfalls and ancient heritage.
  • B. Edessa
    Edessa was an ancient city in Upper Mesopotamia, renowned as a major early center of Syriac Christianity and culture.
  • C. Panticapaeum
    Panticapaeum was an important ancient Greek city and trading center on the Cimmerian Bosporus, located where the modern city of Kerch in Crimea now stands.
  • D. Chrysopolis
    Chrysopolis was an ancient town located on the Asian side of the Bosporus, opposite Byzantium (later Constantinople), known historically as a strategic crossing and military site.
  • E. Hierapolis
    Hierapolis was an ancient Greco-Roman city in Phrygia (modern-day Turkey), known for its hot springs and as an early center of Christianity.
  • 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: EDESSA
Triple: [Estadio Cuscatlán, operator, EDESSA]
Generated description
EDESSA is the company responsible for managing and operating Estadio Cuscatlán, one of the largest and most important football stadiums in El Salvador.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EDESSA
Target entity description: EDESSA is the company responsible for managing and operating Estadio Cuscatlán, one of the largest and most important football stadiums in El Salvador.
  • A. Edessa
    Edessa is a historic city in northern Greece renowned for its picturesque waterfalls and ancient heritage.
  • B. Edessa
    Edessa was an ancient city in Upper Mesopotamia, renowned as a major early center of Syriac Christianity and culture.
  • C. Panticapaeum
    Panticapaeum was an important ancient Greek city and trading center on the Cimmerian Bosporus, located where the modern city of Kerch in Crimea now stands.
  • D. Chrysopolis
    Chrysopolis was an ancient town located on the Asian side of the Bosporus, opposite Byzantium (later Constantinople), known historically as a strategic crossing and military site.
  • E. Hierapolis
    Hierapolis was an ancient Greco-Roman city in Phrygia (modern-day Turkey), known for its hot springs and as an early center of Christianity.
  • 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_69aed955229881909e85e73ffab1d343 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeed55fe3881909776652f0d64f66c completed March 9, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b52864e0488190ab348a52cb9168b9 completed March 14, 2026, 9:20 a.m.
NEDg Description generation batch_69b52c3423988190aae6514041dc8ab3 completed March 14, 2026, 9:36 a.m.
NED2 Entity disambiguation (via description) batch_69b52ca9443481909e43a8bbe208c807 completed March 14, 2026, 9:38 a.m.
Created at: March 9, 2026, 3:22 p.m.