Triple

T14111397
Position Surface form Disambiguated ID Type / Status
Subject Ferentino E339645 entity
Predicate sharesBorderWith P224 FINISHED
Object Morolo
Morolo is a small town and comune in the province of Frosinone in Italy’s Lazio region.
E1079560 NE FINISHED

How this triple was built (4 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: Morolo | Statement: [Ferentino, sharesBorderWith, Morolo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Morolo
Context triple: [Ferentino, sharesBorderWith, Morolo]
  • A. Morvi
    Morvi is a town in the Morbi district of Gujarat, India, historically known as the seat of the former princely Morvi State.
  • B. Ramolino
    Ramolino is an Italian surname historically associated with Corsican nobility and notably borne by Letizia Ramolino, the mother of Napoleon Bonaparte.
  • C. Mollerussa
    Mollerussa is a small town in the province of Lleida, Catalonia, Spain, known for its agricultural surroundings and regional commercial services.
  • D. Moli
    Moli is a settlement located on Choiseul Island in the Solomon Islands.
  • E. Murroes
    Murroes is a small rural village in eastern Scotland, situated within the historic county of Angus near the city of Dundee.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Morolo
Triple: [Ferentino, sharesBorderWith, Morolo]
Generated description
Morolo is a small town and comune in the province of Frosinone in Italy’s Lazio region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Morolo
Target entity description: Morolo is a small town and comune in the province of Frosinone in Italy’s Lazio region.
  • A. Morvi
    Morvi is a town in the Morbi district of Gujarat, India, historically known as the seat of the former princely Morvi State.
  • B. Ramolino
    Ramolino is an Italian surname historically associated with Corsican nobility and notably borne by Letizia Ramolino, the mother of Napoleon Bonaparte.
  • C. Mollerussa
    Mollerussa is a small town in the province of Lleida, Catalonia, Spain, known for its agricultural surroundings and regional commercial services.
  • D. Moli
    Moli is a settlement located on Choiseul Island in the Solomon Islands.
  • E. Murroes
    Murroes is a small rural village in eastern Scotland, situated within the historic county of Angus near the city of Dundee.
  • F. None of above. chosen

Provenance (5 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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de600e6a688190a1243a30ae9b7157 completed April 14, 2026, 3:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0b881388190a5bcdd87fd10c516 completed May 7, 2026, 5:49 p.m.
NEDg Description generation batch_69fcd2d99c4c8190baf15d470ead7b1c completed May 7, 2026, 5:58 p.m.
NED2 Entity disambiguation (via description) batch_69fcd3853e848190a210d1c8c08bd6cc completed May 7, 2026, 6:01 p.m.
Created at: April 9, 2026, 10:22 p.m.