Triple

T4527226
Position Surface form Disambiguated ID Type / Status
Subject Logudoro E106207 entity
Predicate contains P35 FINISHED
Object Luras E423873 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: Luras | Statement: [Logudoro, contains, Luras]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luras
Context triple: [Logudoro, contains, Luras]
  • A. Luras chosen
    Luras is a small town in the Gallura region of northern Sardinia, Italy, known for its traditional stone architecture and nearby ancient olive trees.
  • B. Laus
    Laus was an ancient Greek colony in southern Italy, founded by settlers from the wealthy city of Sybaris.
  • C. Lalsalu
    Lalsalu is a classic Bengali novel by Syed Waliullah that explores religious hypocrisy and rural life in East Bengal.
  • D. Liluah
    Liluah is a suburban locality in the Howrah district of West Bengal, India, known for its residential areas and railway facilities near Kolkata.
  • E. Laerru
    Laerru is a small municipality in the Gallura region of northern Sardinia, Italy, known for its rural character and traditional Sardinian culture.
  • 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_69bd43f3d6e08190a91824f833d51bbe completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd577737848190ad509c8bb8e57ec0 completed March 20, 2026, 2:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69bda4577d0c8190a88cdf4523446329 completed March 20, 2026, 7:47 p.m.
Created at: March 20, 2026, 1:03 p.m.