Triple

T9171815
Position Surface form Disambiguated ID Type / Status
Subject Province of Lucca E220097 entity
Predicate contains P35 FINISHED
Object Molazzana
Molazzana is a small municipality in Tuscany, central Italy, known for its scenic location in the Garfagnana area of the Apennine mountains.
 E784137 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: Molazzana | Statement: [Province of Lucca, contains, Molazzana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Molazzana
Context triple: [Province of Lucca, contains, Molazzana]
  • A. Muzna
    Muzna was the mother of Abd al-Rahman III, the powerful 10th-century Umayyad ruler who became the first Caliph of Córdoba in al-Andalus.
  • B. Manzala
    Manzala is a town in northeastern Egypt situated near Lake Manzala and known for its fishing and agricultural activities.
  • C. Morosaglia
    Morosaglia is a small village in the Haute-Corse department of France, known as the birthplace of Corsican patriot Pasquale Paoli and a historic center of Corsican nationalism.
  • D. Musasir
    Musasir was an ancient Urartian city and religious center in the Armenian Highlands, renowned for its prominent temple dedicated to the god Haldi.
  • E. Mota
    Mota is an Oceanic language of northern Vanuatu, historically notable as a regional lingua franca and early mission language in the area.
  • 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: Molazzana
Triple: [Province of Lucca, contains, Molazzana]
Generated description
Molazzana is a small municipality in Tuscany, central Italy, known for its scenic location in the Garfagnana area of the Apennine mountains.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Molazzana
Target entity description: Molazzana is a small municipality in Tuscany, central Italy, known for its scenic location in the Garfagnana area of the Apennine mountains.
  • A. Muzna
    Muzna was the mother of Abd al-Rahman III, the powerful 10th-century Umayyad ruler who became the first Caliph of Córdoba in al-Andalus.
  • B. Manzala
    Manzala is a town in northeastern Egypt situated near Lake Manzala and known for its fishing and agricultural activities.
  • C. Morosaglia
    Morosaglia is a small village in the Haute-Corse department of France, known as the birthplace of Corsican patriot Pasquale Paoli and a historic center of Corsican nationalism.
  • D. Musasir
    Musasir was an ancient Urartian city and religious center in the Armenian Highlands, renowned for its prominent temple dedicated to the god Haldi.
  • E. Mota
    Mota is an Oceanic language of northern Vanuatu, historically notable as a regional lingua franca and early mission language in the area.
  • 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_69ca83e467108190abcae6a33b3d4dad completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccaae38ee48190bf783477bc37913d completed April 1, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05c077f008190ba1bcd82b3fe9a1d completed April 4, 2026, 12:32 a.m.
NEDg Description generation batch_69d05cec61908190ae783af982db4170 completed April 4, 2026, 12:35 a.m.
NED2 Entity disambiguation (via description) batch_69d05dbf1ce081908d5c8168a9315942 completed April 4, 2026, 12:39 a.m.
Created at: March 30, 2026, 7:22 p.m.