Triple

T14096727
Position Surface form Disambiguated ID Type / Status
Subject Old Sabaic E339270 entity
Predicate region P40 FINISHED
Object Marib
Marib is an ancient city in modern-day Yemen that once served as the capital of the Sabaean kingdom and a major center of South Arabian civilization.
E1079882 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: Marib | Statement: [Old Sabaic, region, Marib]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marib
Context triple: [Old Sabaic, region, Marib]
  • A. Warud
    Warud is a town in Maharashtra, India, known for its orange production and location within the Amravati district.
  • B. Sohar
    Sohar is a coastal city in northern Oman known as an important industrial and port hub on the Gulf of Oman.
  • C. Sohar
    Sohar is a traditional Bhojpuri folk song genre typically performed by women to celebrate childbirth and related rituals.
  • D. Chandax
    Chandax is the medieval name of the city now known as Heraklion, a major port and historical center on the island of Crete.
  • E. Fiskardo
    Fiskardo is a picturesque coastal village and popular tourist destination on the Greek island of Kefalonia, known for its preserved Venetian architecture and scenic harbor.
  • 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: Marib
Triple: [Old Sabaic, region, Marib]
Generated description
Marib is an ancient city in modern-day Yemen that once served as the capital of the Sabaean kingdom and a major center of South Arabian civilization.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Marib
Target entity description: Marib is an ancient city in modern-day Yemen that once served as the capital of the Sabaean kingdom and a major center of South Arabian civilization.
  • A. Warud
    Warud is a town in Maharashtra, India, known for its orange production and location within the Amravati district.
  • B. Sohar
    Sohar is a coastal city in northern Oman known as an important industrial and port hub on the Gulf of Oman.
  • C. Sohar
    Sohar is a traditional Bhojpuri folk song genre typically performed by women to celebrate childbirth and related rituals.
  • D. Chandax
    Chandax is the medieval name of the city now known as Heraklion, a major port and historical center on the island of Crete.
  • E. Fiskardo
    Fiskardo is a picturesque coastal village and popular tourist destination on the Greek island of Kefalonia, known for its preserved Venetian architecture and scenic harbor.
  • 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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5fb926288190a7f0f50d1d585d76 completed April 14, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0adfc28819097a1bfd56739c286 completed May 7, 2026, 5:49 p.m.
NEDg Description generation batch_69fcd41c84408190ab4bc885e7ba8f81 completed May 7, 2026, 6:04 p.m.
NED2 Entity disambiguation (via description) batch_69fcd4ab4b588190977b3dc2adc1f412 completed May 7, 2026, 6:06 p.m.
Created at: April 9, 2026, 10:22 p.m.