Triple

T15154955
Position Surface form Disambiguated ID Type / Status
Subject Lehi Museum in Tel Aviv E362045 entity
Predicate neighborhood P988 FINISHED
Object Florentin
Florentin is a gritty, bohemian neighborhood in south Tel Aviv known for its street art, nightlife, and mix of artists, students, and light industry.
E1140334 NE FINISHED

How this triple was built (4 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: Florentin | Statement: [Lehi Museum in Tel Aviv, neighborhood, Florentin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Florentin
Context triple: [Lehi Museum in Tel Aviv, neighborhood, Florentin]
  • A. Florentin
    Florentin is a late 18th-century German novel by Dorothea Schlegel that explores themes of identity, society, and romanticism within the early German Romantic movement.
  • B. Florian
    Florian is a masculine given name of Latin origin, commonly used in German-speaking and other European countries.
  • C. Franchino
    Franchino is the given name of Italian football legend Franco Baresi, widely regarded as one of the greatest defenders in the history of the sport.
  • D. Laurenti
    Laurenti is a surname of Italian origin associated with figures such as the 18th-century naturalist Josephus Nicolaus Laurenti.
  • E. Fabrizio
    Fabrizio is an Italian masculine given name of Latin origin, commonly used in Italy and among Italian-speaking communities.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Florentin
Triple: [Lehi Museum in Tel Aviv, neighborhood, Florentin]
Generated description
Florentin is a gritty, bohemian neighborhood in south Tel Aviv known for its street art, nightlife, and mix of artists, students, and light industry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Florentin
Target entity description: Florentin is a gritty, bohemian neighborhood in south Tel Aviv known for its street art, nightlife, and mix of artists, students, and light industry.
  • A. Florentin
    Florentin is a late 18th-century German novel by Dorothea Schlegel that explores themes of identity, society, and romanticism within the early German Romantic movement.
  • B. Florian
    Florian is a masculine given name of Latin origin, commonly used in German-speaking and other European countries.
  • C. Franchino
    Franchino is the given name of Italian football legend Franco Baresi, widely regarded as one of the greatest defenders in the history of the sport.
  • D. Laurenti
    Laurenti is a surname of Italian origin associated with figures such as the 18th-century naturalist Josephus Nicolaus Laurenti.
  • E. Fabrizio
    Fabrizio is an Italian masculine given name of Latin origin, commonly used in Italy and among Italian-speaking communities.
  • F. None of above. chosen

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_69d85a0759908190b8a051d2e2a1cbe6 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0060b0cd08190afad14cffcc7d93f completed April 15, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69febff87b6c819097f5cc99b2d75fb6 completed May 9, 2026, 5:02 a.m.
NEDg Description generation batch_69fec1c2ce5c81909e2df69e4cf80344 completed May 9, 2026, 5:10 a.m.
NED2 Entity disambiguation (via description) batch_69fec25d50548190a056d6bb1297e780 completed May 9, 2026, 5:13 a.m.
Created at: April 10, 2026, 3:08 a.m.