Triple

T34278270
Position Surface form Disambiguated ID Type / Status
Subject Roman walls of Damascus E879522 entity
Predicate followedBy P78 FINISHED
Object Byzantine walls of Damascus
The Byzantine walls of Damascus were a late antique fortification system that reinforced and expanded the city’s earlier Roman defenses, shaping the medieval urban boundary of one of the world’s oldest continuously inhabited cities.
 E879522 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: Byzantine walls of Damascus | Statement: [Roman walls of Damascus, followedBy, Byzantine walls of Damascus]
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: Byzantine walls of Damascus
Triple: [Roman walls of Damascus, followedBy, Byzantine walls of Damascus]
Generated description
The Byzantine walls of Damascus were a late antique fortification system that reinforced and expanded the city’s earlier Roman defenses, shaping the medieval urban boundary of one of the world’s oldest continuously inhabited cities.

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_69f349b5f6648190b9420d94a4cd16e0 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f712ec33088190b4e1c5fa63d07db0 completed May 3, 2026, 9:18 a.m.
NED1 Entity disambiguation (via context triple) batch_6a36f9bdbb988190adf392adf25f8bb9 completed June 20, 2026, 8:36 p.m.
NEDg Description generation batch_6a36fa5581dc8190ab4338ac70a8f16a completed June 20, 2026, 8:38 p.m.
NED2 Entity disambiguation (via description) batch_6a36fb292a5c81908ad8344c6ce6c4db completed June 20, 2026, 8:42 p.m.
Created at: May 1, 2026, 1:57 a.m.