Triple

T31398323
Position Surface form Disambiguated ID Type / Status
Subject Sanglech Valley E800921 entity
Predicate hasEthnicGroup P1898 FINISHED
Object Sanglechi people
The Sanglechi people are a small ethnic group native to the remote Sanglech Valley in Afghanistan, traditionally speaking the Sanglechi language and maintaining distinct local cultural practices.
 E2293061 NE FINISHED

How this triple was built (2 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: Sanglechi people | Statement: [Sanglech Valley, hasEthnicGroup, Sanglechi people]
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: Sanglechi people
Triple: [Sanglech Valley, hasEthnicGroup, Sanglechi people]
Generated description
The Sanglechi people are a small ethnic group native to the remote Sanglech Valley in Afghanistan, traditionally speaking the Sanglechi language and maintaining distinct local cultural practices.

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_69f224ea9998819086ae2e4f4f4091c8 completed April 29, 2026, 3:34 p.m.
NER Named-entity recognition batch_69f6a05b1648819097d4b2cf3b2f6383 completed May 3, 2026, 1:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a7a5eba673c81909493811b421dccdd completed Aug. 10, 2026, 11:28 p.m.
NEDg Description generation batch_6a7a6255cf8c81909a96a740f5c98a4c completed Aug. 10, 2026, 11:44 p.m.
NED2 Entity disambiguation (via description) batch_6a7a62ef24c48190a9d301cc52f56578 completed Aug. 10, 2026, 11:46 p.m.
Created at: April 29, 2026, 9:19 p.m.