Triple

T11624907
Position Surface form Disambiguated ID Type / Status
Subject Grottaferrata E276238 entity
Predicate nearbySettlement P350 FINISHED
Object Marino E599827 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: Marino | Statement: [Grottaferrata, nearbySettlement, Marino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marino
Context triple: [Grottaferrata, nearbySettlement, Marino]
  • A. Marino
    Marino is a surname most famously associated with Dan Marino, the Hall of Fame former NFL quarterback for the Miami Dolphins.
  • B. Marino chosen
    Marino is a historic town in Italy’s Alban Hills near Rome, known for its wine production and annual grape festival.
  • C. Molinaro
    Molinaro is an Italian occupational surname, historically associated with millers and derived from the same root as "Molinero."
  • D. Vannino
    Vannino is an Italian diminutive given name derived from Giovanni, commonly used as an affectionate or familiar form.
  • E. Martino
    Martino is a surname most prominently associated with Argentine football manager and former player Gerardo "Tata" Martino.
  • 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_69d6aafa51148190ab84940694c00235 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a12416908190ac2dcd7f7ebb308f completed April 10, 2026, 7:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee87745b388190a78958fa0c08b89b completed April 26, 2026, 9:45 p.m.
Created at: April 8, 2026, 9:39 p.m.