Triple

T24470310
Position Surface form Disambiguated ID Type / Status
Subject Regency of Algiers E617078 entity
Predicate precededBy P97 FINISHED
Object Zayyanid Kingdom of Tlemcen
The Zayyanid Kingdom of Tlemcen was a Berber-ruled medieval North African state centered on the city of Tlemcen in present-day Algeria, which flourished as a commercial and cultural hub between the 13th and 16th centuries.
E1636197 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: Zayyanid Kingdom of Tlemcen | Statement: [Regency of Algiers, precededBy, Zayyanid Kingdom of Tlemcen]
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: Zayyanid Kingdom of Tlemcen
Triple: [Regency of Algiers, precededBy, Zayyanid Kingdom of Tlemcen]
Generated description
The Zayyanid Kingdom of Tlemcen was a Berber-ruled medieval North African state centered on the city of Tlemcen in present-day Algeria, which flourished as a commercial and cultural hub between the 13th and 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_69e2d7f197588190889a03e620558059 completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f299432b2881909502f9cbc7e4dbb0 completed April 29, 2026, 11:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0fe3922e708190abd9672b0f47bfef completed May 22, 2026, 5:03 a.m.
NEDg Description generation batch_6a0fe6c7cf0c8190a519141e2d729f8a completed May 22, 2026, 5:16 a.m.
NED2 Entity disambiguation (via description) batch_6a0fe76385488190991e3bd99cd9d9e9 completed May 22, 2026, 5:19 a.m.
Created at: April 18, 2026, 2:20 a.m.