Triple

T8393264
Position Surface form Disambiguated ID Type / Status
Subject Stefan Nemanja E197992 entity
Predicate capital P234 FINISHED
Object Ras E316060 NE FINISHED

How this triple was built (2 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: Ras | Statement: [Stefan Nemanja, capital, Ras]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ras
Context triple: [Stefan Nemanja, capital, Ras]
  • A. Ras
    Ras is a high-ranking Ethiopian noble title historically bestowed upon powerful regional rulers and military leaders, roughly equivalent to a duke or prince.
  • B. Ras chosen
    Ras is a historic medieval region and former capital area of the early Serbian state, known for its significant monasteries and fortifications.
  • C. RasGas
    RasGas was a major Qatari liquefied natural gas (LNG) company responsible for developing and operating some of Qatar’s largest gas projects.
  • D. Ras Baraka
    Ras Baraka is an American politician, educator, and poet who serves as the progressive mayor of Newark, New Jersey.
  • E. Rasual
    Rasual is the given name of Rasual Butler, an American professional basketball player who competed in the NBA.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca82f816bc8190ab321c07d72208c1 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb8184788081909e9857afff629985 completed March 31, 2026, 8:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce02d5e0648190b33011c2ddca4ad3 completed April 2, 2026, 5:47 a.m.
Created at: March 30, 2026, 6:03 p.m.