Triple

T8992851
Position Surface form Disambiguated ID Type / Status
Subject Sangisari language E214830 entity
Predicate hasAlternativeName P39 FINISHED
Object Sangesari
Sangesari is an Iranian language spoken in parts of northern Iran, particularly in the Semnan Province.
 E771666 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: Sangesari | Statement: [Sangisari language, hasAlternativeName, Sangesari]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sangesari
Context triple: [Sangisari language, hasAlternativeName, Sangesari]
  • A. Sanggar
    Sanggar is a settlement on the island of Sumbawa in Indonesia that was devastated by the catastrophic 1815 eruption of Mount Tambora.
  • B. Songsarek
    Songsarek is the indigenous animistic religion traditionally practiced by the Garo people of the Garo Hills in northeastern India.
  • C. Vina Apsara
    Vina Apsara is a charismatic and iconic rock singer who becomes the emotional and artistic center of Salman Rushdie’s novel "The Ground Beneath Her Feet."
  • D. Sawanih
    Sawanih is a notable literary work by the Indian poet Faizi, recognized for its contribution to classical Persian literature in South Asia.
  • E. Gugak
    Gugak is the collective term for traditional Korean music, encompassing court, folk, and ritual genres that reflect Korea’s historical and cultural heritage.
  • 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: Sangesari
Triple: [Sangisari language, hasAlternativeName, Sangesari]
Generated description
Sangesari is an Iranian language spoken in parts of northern Iran, particularly in the Semnan Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sangesari
Target entity description: Sangesari is an Iranian language spoken in parts of northern Iran, particularly in the Semnan Province.
  • A. Sanggar
    Sanggar is a settlement on the island of Sumbawa in Indonesia that was devastated by the catastrophic 1815 eruption of Mount Tambora.
  • B. Songsarek
    Songsarek is the indigenous animistic religion traditionally practiced by the Garo people of the Garo Hills in northeastern India.
  • C. Vina Apsara
    Vina Apsara is a charismatic and iconic rock singer who becomes the emotional and artistic center of Salman Rushdie’s novel "The Ground Beneath Her Feet."
  • D. Sawanih
    Sawanih is a notable literary work by the Indian poet Faizi, recognized for its contribution to classical Persian literature in South Asia.
  • E. Gugak
    Gugak is the collective term for traditional Korean music, encompassing court, folk, and ritual genres that reflect Korea’s historical and cultural heritage.
  • 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_69ca83a05c608190bdfdbdb25e994b39 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6876583081909d936dc3c3152587 completed April 1, 2026, 12:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd0cd2b948190947a26fe11ad81bf completed April 3, 2026, 2:38 p.m.
NEDg Description generation batch_69cfd27680408190a5ebcebacf9e4303 completed April 3, 2026, 2:45 p.m.
NED2 Entity disambiguation (via description) batch_69cfd2dbf3cc81909589bd9467239573 completed April 3, 2026, 2:46 p.m.
Created at: March 30, 2026, 7:04 p.m.