Triple

T31196080
Position Surface form Disambiguated ID Type / Status
Subject Saffarid dynasty E795323 entity
Predicate coreTerritory P1103 FINISHED
Object Zabulistan
Zabulistan was a historical region in eastern Iran and southern Afghanistan that served as an important center of early Islamic and pre-Islamic dynasties, including the Saffarids.
E238034 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: Zabulistan | Statement: [Saffarid dynasty, coreTerritory, Zabulistan]
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: Zabulistan
Triple: [Saffarid dynasty, coreTerritory, Zabulistan]
Generated description
Zabulistan was a historical region in eastern Iran and southern Afghanistan that served as an important center of early Islamic and pre-Islamic dynasties, including the Saffarids.

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_69f224d7a6a481908187c4362a8a525f completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f69bbedcbc8190b1b45ec966db581f completed May 3, 2026, 12:50 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2ad21dbd7881909d3a29426ee3e131 completed June 11, 2026, 3:19 p.m.
NEDg Description generation batch_6a2ad3eb1d64819097929215f4966f33 completed June 11, 2026, 3:27 p.m.
NED2 Entity disambiguation (via description) batch_6a2add7bc6e88190aad59d52f9f55ccf completed June 11, 2026, 4:08 p.m.
Created at: April 29, 2026, 9:09 p.m.