Triple

T16039106
Position Surface form Disambiguated ID Type / Status
Subject Grasse E389045 entity
Predicate twinnedWith P1072 FINISHED
Object Carrara E151864 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: Carrara | Statement: [Grasse, twinnedWith, Carrara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carrara
Context triple: [Grasse, twinnedWith, Carrara]
  • A. Carrara chosen
    Carrara is an Italian city renowned worldwide for its high-quality white marble quarries and sculpture tradition.
  • B. Carrara
    Carrara is a suburb on Queensland’s Gold Coast in Australia, known for its residential communities, golf courses, and proximity to major sporting and entertainment venues.
  • C. Montelparo
    Montelparo is a small historic hilltop town in Italy’s Marche region, known for its medieval architecture and panoramic views over the surrounding countryside.
  • D. Pietraperzia
    Pietraperzia is a historic hill town and comune in central Sicily, Italy, known for its medieval castle and traditional religious celebrations.
  • E. Fasano
    Fasano is a historic town and popular tourist destination in the Apulia region of southern Italy, known for its whitewashed old center, nearby trulli houses, and coastal resorts.
  • 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_69d86dada3808190825d5f80d72fbe88 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1833eb90c8190b10dca3ce0793ddf completed April 17, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbd5acb48190a10e40074fffd425 completed May 10, 2026, 1:13 a.m.
Created at: April 10, 2026, 4:56 a.m.