Triple

T26985160
Position Surface form Disambiguated ID Type / Status
Subject Beylik of Constantine E679716 entity
Predicate administrativeCenter P1474 FINISHED
Object Citadel of Constantine
The Citadel of Constantine is a historic fortified stronghold in the city of Constantine, Algeria, that served as a key military and political center in the region.
E1751829 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: Citadel of Constantine | Statement: [Beylik of Constantine, administrativeCenter, Citadel of Constantine]
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: Citadel of Constantine
Triple: [Beylik of Constantine, administrativeCenter, Citadel of Constantine]
Generated description
The Citadel of Constantine is a historic fortified stronghold in the city of Constantine, Algeria, that served as a key military and political center in the region.

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_69eeeb5138ac8190b3c273ddc659a54f completed April 27, 2026, 4:51 a.m.
NER Named-entity recognition batch_69f6215954f8819092cf882ca976fafa completed May 2, 2026, 4:07 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1229b269fc8190b6a82b04422b5483 completed May 23, 2026, 10:26 p.m.
NEDg Description generation batch_6a122a5774408190b156c205e764e896 completed May 23, 2026, 10:29 p.m.
NED2 Entity disambiguation (via description) batch_6a122b1ce9a48190935b3499f77d0a1e completed May 23, 2026, 10:33 p.m.
Created at: April 27, 2026, 6:48 a.m.