Triple

T5059097
Position Surface form Disambiguated ID Type / Status
Subject Sasak people E113978 entity
Predicate weavingCenter P61020 FINISHED
Object Pringgasela
Pringgasela is a village in Lombok, Indonesia, renowned for its traditional Sasak handwoven textiles and skilled artisans.
E492739 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: Pringgasela | Statement: [Sasak people, weavingCenter, Pringgasela]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pringgasela
Context triple: [Sasak people, weavingCenter, Pringgasela]
  • A. Pringi
    Pringi is a small coastal village in northern Estonia, located within Viimsi Parish near the capital city of Tallinn.
  • B. Prangli
    Prangli is a small inhabited island in the Gulf of Finland, off the northern coast of Estonia, known for its traditional fishing village and scenic natural landscapes.
  • C. Prasuni
    Prasuni is a Nuristani language spoken by a small community in the remote valleys of eastern Afghanistan.
  • D. Seringapatam
    Seringapatam is a historic town in southern India that served as the capital of the Kingdom of Mysore and the site of major Anglo-Mysore Wars involving Tipu Sultan and the British.
  • E. Sawanih
    Sawanih is a notable literary work by the Indian poet Faizi, recognized for its contribution to classical Persian literature in South Asia.
  • 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: Pringgasela
Triple: [Sasak people, weavingCenter, Pringgasela]
Generated description
Pringgasela is a village in Lombok, Indonesia, renowned for its traditional Sasak handwoven textiles and skilled artisans.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pringgasela
Target entity description: Pringgasela is a village in Lombok, Indonesia, renowned for its traditional Sasak handwoven textiles and skilled artisans.
  • A. Pringi
    Pringi is a small coastal village in northern Estonia, located within Viimsi Parish near the capital city of Tallinn.
  • B. Prangli
    Prangli is a small inhabited island in the Gulf of Finland, off the northern coast of Estonia, known for its traditional fishing village and scenic natural landscapes.
  • C. Prasuni
    Prasuni is a Nuristani language spoken by a small community in the remote valleys of eastern Afghanistan.
  • D. Seringapatam
    Seringapatam is a historic town in southern India that served as the capital of the Kingdom of Mysore and the site of major Anglo-Mysore Wars involving Tipu Sultan and the British.
  • E. Sawanih
    Sawanih is a notable literary work by the Indian poet Faizi, recognized for its contribution to classical Persian literature in South Asia.
  • 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_69bd443aa1f88190abb992d138f2cf42 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd77cb8d2c8190a0f7c574a177091a completed March 20, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb102bb348190b235e4adb7a3f88b completed March 21, 2026, 2:53 p.m.
NEDg Description generation batch_69beb407ec7881909e3643c1fd162568 completed March 21, 2026, 3:06 p.m.
NED2 Entity disambiguation (via description) batch_69beb4843b588190947b3c2ae7709e67 completed March 21, 2026, 3:08 p.m.
Created at: March 20, 2026, 1:38 p.m.