Triple

T25849623
Position Surface form Disambiguated ID Type / Status
Subject Lungomare of Bari E651164 entity
Predicate hasPart P35 FINISHED
Object Lungomare Araldo di Crollalanza
Lungomare Araldo di Crollalanza is a prominent seafront promenade in Bari, Italy, known for its coastal views, historic architecture, and role as a central leisure and social gathering area in the city.
E1703564 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: Lungomare Araldo di Crollalanza | Statement: [Lungomare of Bari, hasPart, Lungomare Araldo di Crollalanza]
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: Lungomare Araldo di Crollalanza
Triple: [Lungomare of Bari, hasPart, Lungomare Araldo di Crollalanza]
Generated description
Lungomare Araldo di Crollalanza is a prominent seafront promenade in Bari, Italy, known for its coastal views, historic architecture, and role as a central leisure and social gathering area in the city.

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_69e7ab39035c8190be15c8aaee1bb858 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f6023ac9e48190b60639f667445ace completed May 2, 2026, 1:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a110764406c81909ce2bf8b134f8e95 completed May 23, 2026, 1:48 a.m.
NEDg Description generation batch_6a1107dd2a2881909395916b0e8e2d07 completed May 23, 2026, 1:50 a.m.
NED2 Entity disambiguation (via description) batch_6a110893711881908e18c95b14731cd7 completed May 23, 2026, 1:53 a.m.
Created at: April 22, 2026, 7:58 a.m.