Triple

T9364662
Position Surface form Disambiguated ID Type / Status
Subject Semo Sancus E225369 entity
Predicate epithet P743 FINISHED
Object Semo
Semo is an ancient Roman deity associated with oaths, loyalty, and sacred trust, often identified with the god Sancus.
E794748 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: Semo | Statement: [Semo Sancus, epithet, Semo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Semo
Context triple: [Semo Sancus, epithet, Semo]
  • A. Olesko
    Olesko is a historic town in western Ukraine best known for its medieval castle, which served as the birthplace of Polish King John III Sobieski.
  • B. Bôle
    Bôle is a village and former municipality in the canton of Neuchâtel in western Switzerland.
  • C. Soeste
    Soeste is a river in Lower Saxony, Germany, known as a tributary of the Leda.
  • D. Сквира
    Сквира — це невелике місто в Київській області України, відоме як районний центр із переважно сільськогосподарським оточенням та історичною єврейською спадщиною.
  • E. Simberi
    Simberi is an Oceanic language spoken on Simberi Island in the Tabar Island group of Papua New Guinea.
  • 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: Semo
Triple: [Semo Sancus, epithet, Semo]
Generated description
Semo is an ancient Roman deity associated with oaths, loyalty, and sacred trust, often identified with the god Sancus.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Semo
Target entity description: Semo is an ancient Roman deity associated with oaths, loyalty, and sacred trust, often identified with the god Sancus.
  • A. Olesko
    Olesko is a historic town in western Ukraine best known for its medieval castle, which served as the birthplace of Polish King John III Sobieski.
  • B. Bôle
    Bôle is a village and former municipality in the canton of Neuchâtel in western Switzerland.
  • C. Soeste
    Soeste is a river in Lower Saxony, Germany, known as a tributary of the Leda.
  • D. Сквира
    Сквира — це невелике місто в Київській області України, відоме як районний центр із переважно сільськогосподарським оточенням та історичною єврейською спадщиною.
  • E. Simberi
    Simberi is an Oceanic language spoken on Simberi Island in the Tabar Island group of Papua New Guinea.
  • 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_69ca842bdd648190904131d58620d448 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd503fd7f081909655e2a880c84834 completed April 1, 2026, 5:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0f3f3c420819084b65fd4537aaf93 completed April 4, 2026, 11:20 a.m.
NEDg Description generation batch_69d0f619e91081909c2ec17e89376295 completed April 4, 2026, 11:29 a.m.
NED2 Entity disambiguation (via description) batch_69d0f6ce1a0c8190aca34958935e0e59 completed April 4, 2026, 11:32 a.m.
Created at: March 30, 2026, 7:42 p.m.