Triple

T33020225
Position Surface form Disambiguated ID Type / Status
Subject Safis E844887 entity
Predicate hasAlternativeName P39 FINISHED
Object Safi tribe
The Safi tribe is an ethnic Pashtun tribal group primarily residing in eastern Afghanistan and parts of Pakistan, known for its distinct cultural traditions and historical resistance to external rule.
E2033107 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: Safi tribe | Statement: [Safis, hasAlternativeName, Safi tribe]
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: Safi tribe
Triple: [Safis, hasAlternativeName, Safi tribe]
Generated description
The Safi tribe is an ethnic Pashtun tribal group primarily residing in eastern Afghanistan and parts of Pakistan, known for its distinct cultural traditions and historical resistance to external rule.

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_69f3494f3b4081909dccf2af34372a26 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d2af80ec8190bd7a69cf1f40df10 completed May 3, 2026, 4:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34dadb626081909bb5938591359d87 completed June 19, 2026, 5:59 a.m.
NEDg Description generation batch_6a34dd3ccba48190a7ad7e5c57c5e609 completed June 19, 2026, 6:10 a.m.
NED2 Entity disambiguation (via description) batch_6a34ddaa95a88190a00840810b4013f6 completed June 19, 2026, 6:11 a.m.
Created at: May 1, 2026, 1:23 a.m.