Triple

T38378240
Position Surface form Disambiguated ID Type / Status
Subject Spīn Ghar E893682 entity
Predicate hasNameInPashto P101264 FINISHED
Object سپین غر
سپین غر یو د افغانستان او پاکستان ترمنځ پرته مهمه غرنیه سلسله ده چې د خپل ستراتیژیک موقعیت او لوړو څوکو له امله پېژندل کېږي.
E2267828 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: سپین غر | Statement: [Spīn Ghar, hasNameInPashto, سپین غر]
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: سپین غر
Triple: [Spīn Ghar, hasNameInPashto, سپین غر]
Generated description
سپین غر یو د افغانستان او پاکستان ترمنځ پرته مهمه غرنیه سلسله ده چې د خپل ستراتیژیک موقعیت او لوړو څوکو له امله پېژندل کېږي.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNameInPashto
Context triple: [Spīn Ghar, hasNameInPashto, سپین غر]
  • A. hasLocalNameInPashto chosen
    Indicates that an entity has a specific local name expressed in the Pashto language.
  • B. hasNameInSindhi
    Indicates that an entity is associated with a specific name expressed in the Sindhi language.
  • C. hasNameInUrdu
    Indicates that an entity is associated with a specific name expressed in the Urdu language.
  • D. hasNameInPunjabi
    Indicates that an entity is associated with a specific name expressed in the Punjabi language.
  • E. hasPersianName
    Indicates that an entity is associated with a name expressed in the Persian language.
  • F. None of above.

Provenance (6 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_69f76e4b1f748190a380696a16eae4a2 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69ffe23081408190a121d901dbce1403 completed May 10, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_6a41b2a3860c8190ab45dccdae79aa03 completed June 28, 2026, 11:47 p.m.
NEDg Description generation batch_6a41b41e4fb48190ab0e098edc14965b completed June 28, 2026, 11:54 p.m.
NED2 Entity disambiguation (via description) batch_6a41b4aff75081909d0946a1c0992447 completed June 28, 2026, 11:56 p.m.
PD Predicate disambiguation batch_69ffe18aed348190912a5996b2da728b completed May 10, 2026, 1:38 a.m.
Created at: May 3, 2026, 4:31 p.m.