Triple

T9792934
Position Surface form Disambiguated ID Type / Status
Subject Bishop of Batnan in Serugh E237647 entity
Predicate seeOf P28678 FINISHED
Object Batnan in Serugh
Batnan in Serugh was an important late antique city in the Roman province of Syria, notable as an ecclesiastical center and episcopal see in the region of Serugh.
E237648 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: Batnan in Serugh | Statement: [Bishop of Batnan in Serugh, seeOf, Batnan in Serugh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Batnan in Serugh
Context triple: [Bishop of Batnan in Serugh, seeOf, Batnan in Serugh]
  • A. Cabadbaran
    Cabadbaran is a component city in the Caraga region of the Philippines, serving as the capital of the province of Agusan del Norte.
  • B. Batian
    Batian is the highest peak of Mount Kenya, a prominent volcanic mountain in central Kenya.
  • C. Batad
    Batad is a village in the Ifugao province of the Philippines, known for its terraced rice fields and indigenous culture.
  • D. Bar-Nabas
    Bar-Nabas is an alternative name for Barnabas, an early Christian disciple and missionary companion of the Apostle Paul in the New Testament.
  • E. Evinayong
    Evinayong is a town in mainland Equatorial Guinea that serves as an important local administrative and commercial center.
  • 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: Batnan in Serugh
Triple: [Bishop of Batnan in Serugh, seeOf, Batnan in Serugh]
Generated description
Batnan in Serugh was an important late antique city in the Roman province of Syria, notable as an ecclesiastical center and episcopal see in the region of Serugh.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Batnan in Serugh
Target entity description: Batnan in Serugh was an important late antique city in the Roman province of Syria, notable as an ecclesiastical center and episcopal see in the region of Serugh.
  • A. Batnan in Serugh chosen
    Batnan in Serugh was an important late antique episcopal see in Upper Mesopotamia, notable as the bishopric of the Syriac poet-theologian Jacob of Serugh.
  • B. Cabadbaran
    Cabadbaran is a component city in the Caraga region of the Philippines, serving as the capital of the province of Agusan del Norte.
  • C. Batian
    Batian is the highest peak of Mount Kenya, a prominent volcanic mountain in central Kenya.
  • D. Batad
    Batad is a village in the Ifugao province of the Philippines, known for its terraced rice fields and indigenous culture.
  • E. Bar-Nabas
    Bar-Nabas is an alternative name for Barnabas, an early Christian disciple and missionary companion of the Apostle Paul in the New Testament.
  • F. None of above.

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_69ca84dc04488190b9c91193976c0960 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda346945481908c2698a79c578ef5 completed April 1, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c4368da88190a70e93ec4d6bef93 completed April 5, 2026, 2:08 a.m.
NEDg Description generation batch_69d1c4a087208190b81ae9d40de08ab9 completed April 5, 2026, 2:10 a.m.
NED2 Entity disambiguation (via description) batch_69d1c4fe71308190ac08e30c98611ed6 completed April 5, 2026, 2:12 a.m.
Created at: March 30, 2026, 8:28 p.m.