Triple

T16978248
Position Surface form Disambiguated ID Type / Status
Subject Sabni E411869 entity
Predicate hasNameInModernScholarship P78545 FINISHED
Object Sabni E411869 NE FINISHED

How this triple was built (3 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: Sabni | Statement: [Sabni, hasNameInModernScholarship, Sabni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sabni
Context triple: [Sabni, hasNameInModernScholarship, Sabni]
  • A. Sabni chosen
    Sabni was an ancient Egyptian official from the Old Kingdom whose rock-cut tomb at Aswan’s Tombs of the Nobles is notable for its detailed inscriptions and scenes illustrating his life and status.
  • B. Salbai
    Salbai is a historical location in India known primarily as the site where the 1782 Treaty of Salbai was concluded between the British East India Company and the Maratha Empire.
  • C. Satna
    Satna is a prominent industrial and commercial city in central India, known especially for its large cement factories and strategic location in Madhya Pradesh.
  • D. Sawerigadi
    Sawerigadi is a town in Indonesia located in the province of Southeast Sulawesi.
  • E. Kasarani
    Kasarani is a residential and commercial suburb in northeastern Nairobi, Kenya, known for hosting major sports and educational facilities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNameInModernScholarship
Context triple: [Sabni, hasNameInModernScholarship, Sabni]
  • A. hasModernHistoriographicalName chosen
    Indicates that an entity is associated with the name or label used for it in modern historiography.
  • B. hasModernName
    Indicates that an entity is associated with its current or contemporary name, as opposed to an older or historical one.
  • C. hasModernNamesake
    Indicates that an entity is the namesake or inspiration for a modern entity that shares or derives its name from it.
  • D. hasTitleInModernEnglish
    Indicates that an entity is associated with a specific title expressed in modern English.
  • E. hasModernScholarlyTerm
    Indicates that there exists a contemporary academic or scholarly term that corresponds to or designates the given entity or concept.
  • F. None of above.

Provenance (4 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_69d886ca8f348190812768ea8d5055ce completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d185a9408190a991bf8a1ef694f0 completed April 18, 2026, 6:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d477f7ec81909f1f0243004c9050 completed May 10, 2026, 6:54 p.m.
PD Predicate disambiguation batch_69e35d4dff4881909b384e30f2d36bff completed April 18, 2026, 10:30 a.m.
Created at: April 10, 2026, 5:32 a.m.