Triple

T3841127
Position Surface form Disambiguated ID Type / Status
Subject Bastia – Poretta Airport E93450 entity
Predicate locatedNear P294 FINISHED
Object Lucciana
Lucciana is a commune in the Haute-Corse department of Corsica, France, known for hosting Bastia – Poretta Airport and its proximity to the island’s northeastern coast.
E393462 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: Lucciana | Statement: [Bastia – Poretta Airport, locatedNear, Lucciana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lucciana
Context triple: [Bastia – Poretta Airport, locatedNear, Lucciana]
  • A. Statilia
    Statilia is an ancient Roman feminine praenomen (given name) most notably borne by the empress Statilia Messalina, wife of Emperor Nero.
  • B. Maenza
    Maenza is a small historic town in the Lazio region of central Italy, known for its medieval architecture and hilltop setting.
  • C. Moltrasio
    Moltrasio is a picturesque lakeside town on the western shore of Lake Como in northern Italy, known for its historic villas and scenic views.
  • D. Selasca
    Selasca is a small locality in northern Italy notable as the place where the mathematician Bernhard Riemann died.
  • E. Arycanda
    Arycanda was an ancient Lycian city in what is now southwestern Turkey, noted for its well-preserved ruins and terraced layout on a steep mountainside.
  • 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: Lucciana
Triple: [Bastia – Poretta Airport, locatedNear, Lucciana]
Generated description
Lucciana is a commune in the Haute-Corse department of Corsica, France, known for hosting Bastia – Poretta Airport and its proximity to the island’s northeastern coast.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lucciana
Target entity description: Lucciana is a commune in the Haute-Corse department of Corsica, France, known for hosting Bastia – Poretta Airport and its proximity to the island’s northeastern coast.
  • A. Statilia
    Statilia is an ancient Roman feminine praenomen (given name) most notably borne by the empress Statilia Messalina, wife of Emperor Nero.
  • B. Maenza
    Maenza is a small historic town in the Lazio region of central Italy, known for its medieval architecture and hilltop setting.
  • C. Moltrasio
    Moltrasio is a picturesque lakeside town on the western shore of Lake Como in northern Italy, known for its historic villas and scenic views.
  • D. Selasca
    Selasca is a small locality in northern Italy notable as the place where the mathematician Bernhard Riemann died.
  • E. Arycanda
    Arycanda was an ancient Lycian city in what is now southwestern Turkey, noted for its well-preserved ruins and terraced layout on a steep mountainside.
  • 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_69aed96ce578819084ab16e3439976c9 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeebb235088190b115623e54ea2ab1 completed March 9, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5040d478081909a903bbf02f0d0ec completed March 14, 2026, 6:45 a.m.
NEDg Description generation batch_69b50492239c8190a6c62504e2a6d130 completed March 14, 2026, 6:47 a.m.
NED2 Entity disambiguation (via description) batch_69b50863e4a08190bd54274b2212abfc completed March 14, 2026, 7:04 a.m.
Created at: March 9, 2026, 3:18 p.m.