Triple

T30439434
Position Surface form Disambiguated ID Type / Status
Subject Strada Statale 605 Brindisi–San Vito dei Normanni–Mesagne E774398 entity
Predicate hasAbbreviation P43 FINISHED
Object SS 605
SS 605 is an Italian state road in the Apulia region that connects the cities of Brindisi, San Vito dei Normanni, and Mesagne.
 E1916238 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: SS 605 | Statement: [Strada Statale 605 Brindisi–San Vito dei Normanni–Mesagne, hasAbbreviation, SS 605]
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: SS 605
Triple: [Strada Statale 605 Brindisi–San Vito dei Normanni–Mesagne, hasAbbreviation, SS 605]
Generated description
SS 605 is an Italian state road in the Apulia region that connects the cities of Brindisi, San Vito dei Normanni, and Mesagne.

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_69f22492d2a88190995ce8745d9becaa completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f686977f7881909d3f26af6804dd01 completed May 2, 2026, 11:19 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2798bfa9cc8190a35586e8901a280c completed June 9, 2026, 4:38 a.m.
NEDg Description generation batch_6a279a5c8efc81908f425462ce572bed completed June 9, 2026, 4:45 a.m.
NED2 Entity disambiguation (via description) batch_6a279b384ef48190b6ba698c9e708f71 completed June 9, 2026, 4:48 a.m.
Created at: April 29, 2026, 8:08 p.m.