Triple

T14035218
Position Surface form Disambiguated ID Type / Status
Subject Latina E337694 entity
Predicate originalName P65 FINISHED
Object Littoria E337673 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: Littoria | Statement: [Latina, originalName, Littoria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Littoria
Context triple: [Latina, originalName, Littoria]
  • A. Littoria chosen
    Littoria was the original name of the Italian city now known as Latina, founded during the Fascist era in the Lazio region.
  • B. Zalambessa
    Zalambessa is a town in the Tigray Region of northern Ethiopia, situated near the border with Eritrea and known for its strategic location along the main road between the two countries.
  • C. Giave
    Giave is a small municipality in the historical Logudoro region of northern Sardinia, Italy.
  • D. Chersina
    Chersina is a genus of tortoises in the family Testudinidae, best known for the South African species Chersina angulata, commonly called the angulate tortoise.
  • E. Fiumelatte
    Fiumelatte is a small Italian village on Lake Como known for its short, seasonally flowing “milk-colored” river, considered one of the shortest rivers in Italy.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d81c664e48819088cbd8f433aeffe5 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2fac71188190a586049405f1071e completed April 14, 2026, 12:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc339d53c8190a9cd7027a716ff5f completed May 6, 2026, 10:39 p.m.
Created at: April 9, 2026, 10:20 p.m.