Triple

T7901157
Position Surface form Disambiguated ID Type / Status
Subject Central Sama E183454 entity
Predicate hasAlternativeName P39 FINISHED
Object Sinama
Sinama is an Austronesian language spoken by the Sama-Bajau people of the southern Philippines, Malaysia, and Indonesia.
E700458 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: Sinama | Statement: [Central Sama, hasAlternativeName, Sinama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sinama
Context triple: [Central Sama, hasAlternativeName, Sinama]
  • A. Sikma
    Sikma is a surname most notably associated with Jack Sikma, a Hall of Fame American basketball player known for his successful NBA career with the Seattle SuperSonics.
  • B. Songo
    Songo is a small town in Mozambique known primarily for its proximity to the Cahora Bassa Dam and its role in supporting the dam’s operations and nearby communities.
  • C. Musiri
    Musiri is a town in the Indian state of Tamil Nadu, known as an agricultural and commercial center situated along the Kaveri River.
  • D. Samia
    Samia is an ancient Greek comedy by the playwright Menander, often translated as "The Girl from Samos" and known for its intricate plot and character-driven humor.
  • E. Shundi
    Shundi is a fictional kingdom from Satyajit Ray’s Bengali fantasy film and stories featuring Goopy and Bagha, known for its whimsical, magical setting.
  • 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: Sinama
Triple: [Central Sama, hasAlternativeName, Sinama]
Generated description
Sinama is an Austronesian language spoken by the Sama-Bajau people of the southern Philippines, Malaysia, and Indonesia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sinama
Target entity description: Sinama is an Austronesian language spoken by the Sama-Bajau people of the southern Philippines, Malaysia, and Indonesia.
  • A. Sikma
    Sikma is a surname most notably associated with Jack Sikma, a Hall of Fame American basketball player known for his successful NBA career with the Seattle SuperSonics.
  • B. Songo
    Songo is a small town in Mozambique known primarily for its proximity to the Cahora Bassa Dam and its role in supporting the dam’s operations and nearby communities.
  • C. Musiri
    Musiri is a town in the Indian state of Tamil Nadu, known as an agricultural and commercial center situated along the Kaveri River.
  • D. Samia
    Samia is an ancient Greek comedy by the playwright Menander, often translated as "The Girl from Samos" and known for its intricate plot and character-driven humor.
  • E. Shundi
    Shundi is a fictional kingdom from Satyajit Ray’s Bengali fantasy film and stories featuring Goopy and Bagha, known for its whimsical, magical setting.
  • 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_69ca828d13088190b222be7aa9f9315c completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a3f4c2c81909ae70b0acf4729be completed March 31, 2026, 3:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5bbd93348190883c6152f18f8214 completed March 31, 2026, 5:29 a.m.
NEDg Description generation batch_69cb7632cbbc819087107c8d2172a038 completed March 31, 2026, 7:22 a.m.
NED2 Entity disambiguation (via description) batch_69cbb64eee408190a66cbd0cba3054b4 completed March 31, 2026, 11:55 a.m.
Created at: March 30, 2026, 5:02 p.m.