Triple

T30928109
Position Surface form Disambiguated ID Type / Status
Subject Vicolo del Lupanare E787911 entity
Predicate partOf P40 FINISHED
Object street network of Pompeii
The street network of Pompeii is the well-preserved system of roads, alleys, and intersections of the ancient Roman city, revealing its urban planning, traffic patterns, and daily life before the eruption of Mount Vesuvius in 79 CE.
E1937722 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: street network of Pompeii | Statement: [Vicolo del Lupanare, partOf, street network of Pompeii]
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: street network of Pompeii
Triple: [Vicolo del Lupanare, partOf, street network of Pompeii]
Generated description
The street network of Pompeii is the well-preserved system of roads, alleys, and intersections of the ancient Roman city, revealing its urban planning, traffic patterns, and daily life before the eruption of Mount Vesuvius in 79 CE.

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_69f224c0b7fc819090cb89df60d23653 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f692de957481908fb393c6579a8f4b completed May 3, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a28e46f62388190a7cc137d957d2d89 completed June 10, 2026, 4:13 a.m.
NEDg Description generation batch_6a28e53bedfc8190b0e66f481b11a095 completed June 10, 2026, 4:17 a.m.
NED2 Entity disambiguation (via description) batch_6a28e5c57ebc8190ad3489b51d221021 completed June 10, 2026, 4:19 a.m.
Created at: April 29, 2026, 8:51 p.m.