Triple

T27349701
Position Surface form Disambiguated ID Type / Status
Subject Jam Nizamuddin II E684320 entity
Predicate ethnicGroup P194 FINISHED
Object Samma
The Samma are a historic Sindhi Rajput clan and former ruling dynasty of parts of present-day Pakistan, particularly known for establishing the Samma dynasty that governed Sindh from the 14th to 16th centuries.
E1766017 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: Samma | Statement: [Jam Nizamuddin II, ethnicGroup, Samma]
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: Samma
Triple: [Jam Nizamuddin II, ethnicGroup, Samma]
Generated description
The Samma are a historic Sindhi Rajput clan and former ruling dynasty of parts of present-day Pakistan, particularly known for establishing the Samma dynasty that governed Sindh from the 14th to 16th centuries.

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_69ef1480a76481908684256ddd5bfda3 completed April 27, 2026, 7:47 a.m.
NER Named-entity recognition batch_69f62ba6aeb08190a6c504a508911d1f completed May 2, 2026, 4:51 p.m.
NED1 Entity disambiguation (via context triple) batch_6a129ccd6fc08190adb59b21555f7029 completed May 24, 2026, 6:38 a.m.
NEDg Description generation batch_6a129da51ce08190b85045a3d378c25f completed May 24, 2026, 6:41 a.m.
NED2 Entity disambiguation (via description) batch_6a129e4151208190995590e78cf35502 completed May 24, 2026, 6:44 a.m.
Created at: April 27, 2026, 11:47 a.m.