Triple

T8992853
Position Surface form Disambiguated ID Type / Status
Subject Sangisari language E214830 entity
Predicate hasAlternativeName P39 FINISHED
Object Sangisari
Sangisari is an Iranian language spoken by the Sangisari people in the Semnan Province of north-central Iran.
 E772363 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: Sangisari | Statement: [Sangisari language, hasAlternativeName, Sangisari]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sangisari
Context triple: [Sangisari language, hasAlternativeName, Sangisari]
  • A. Sangschaw
    Sangschaw is a notable early poetry collection by Scottish modernist poet Hugh MacDiarmid, written largely in Scots and central to the Scottish literary renaissance.
  • B. Sangaride
    Sangaride is a mythological figure best known as the beloved of Atys in ancient legends and later operatic adaptations.
  • C. Sangan
    Sangan is a town located in Pakistan’s Balochistan province within the Sibi District.
  • D. Sibari
    Sibari is a town in southern Italy’s Calabria region, located near the archaeological remains of the ancient Greek city of Sybaris.
  • E. Sakia
    Sakia is a prominent cultural center and arts venue in Cairo, Egypt, known for hosting concerts, exhibitions, and a wide range of cultural events.
  • 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: Sangisari
Triple: [Sangisari language, hasAlternativeName, Sangisari]
Generated description
Sangisari is an Iranian language spoken by the Sangisari people in the Semnan Province of north-central Iran.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sangisari
Target entity description: Sangisari is an Iranian language spoken by the Sangisari people in the Semnan Province of north-central Iran.
  • A. Sangschaw
    Sangschaw is a notable early poetry collection by Scottish modernist poet Hugh MacDiarmid, written largely in Scots and central to the Scottish literary renaissance.
  • B. Sangaride
    Sangaride is a mythological figure best known as the beloved of Atys in ancient legends and later operatic adaptations.
  • C. Sangan
    Sangan is a town located in Pakistan’s Balochistan province within the Sibi District.
  • D. Sibari
    Sibari is a town in southern Italy’s Calabria region, located near the archaeological remains of the ancient Greek city of Sybaris.
  • E. Sakia
    Sakia is a prominent cultural center and arts venue in Cairo, Egypt, known for hosting concerts, exhibitions, and a wide range of cultural events.
  • 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_69cfdb92ebf4819092b7ee94af16064b completed April 3, 2026, 3:24 p.m.
NEDg Description generation batch_69cfdc384884819083334642471c274a completed April 3, 2026, 3:26 p.m.
NED2 Entity disambiguation (via description) batch_69cfdc99a59c8190b509f66fa656bd77 completed April 3, 2026, 3:28 p.m.
Created at: March 30, 2026, 7:04 p.m.