Triple

T21549216
Position Surface form Disambiguated ID Type / Status
Subject Valdarno E531715 entity
Predicate hasTown P847 FINISHED
Object Empoli NE NERFINISHED

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: Empoli | Statement: [Valdarno, hasTown, Empoli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Empoli
Context triple: [Valdarno, hasTown, Empoli]
  • A. Empoli
    Empoli is an Italian professional football club based in Empoli, Tuscany, known for competing in Serie A and developing talented players.
  • B. Empoli chosen
    Empoli is a Tuscan town in central Italy known for its historical center, industrial and agricultural activities, and location along the Arno River west of Florence.
  • C. Reggiana
    Reggiana is an Italian football club based in Reggio Emilia, historically known for competing in the country’s professional leagues.
  • D. Carpi
    Carpi is a town in the Emilia-Romagna region of northern Italy, known for its historic center and textile industry.
  • E. Carpi
    The Carpi were an ancient Dacian or Dacian-related tribal group inhabiting the eastern Carpathian region, known for their frequent conflicts with the Roman Empire in the 3rd and 4th centuries AD.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c45f17148190949c330ab9c27706 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eeb5917fb88190a8d37831cced75dc completed April 27, 2026, 1:02 a.m.
Created at: April 16, 2026, 6:28 p.m.