Triple

T9640708
Position Surface form Disambiguated ID Type / Status
Subject Province of Pistoia E233056 entity
Predicate contains P35 FINISHED
Object Marliana
Marliana is a small Italian municipality in the Tuscany region, known for its hilly landscape and historic rural character.
E812645 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: Marliana | Statement: [Province of Pistoia, contains, Marliana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marliana
Context triple: [Province of Pistoia, contains, Marliana]
  • A. Mihna
    The Mihna was an Islamic inquisition instituted in the 9th century that tested and persecuted scholars over their adherence to the doctrine of the createdness of the Qur’an.
  • B. Nazarin
    Nazarin is a 1959 Spanish-Mexican drama film directed by Luis Buñuel, acclaimed for its exploration of faith, morality, and social injustice.
  • C. Madama
    Madama is a Palestinian village located in the Nablus Governorate in the northern West Bank.
  • D. Paama
    Paama is an Oceanic language spoken primarily on Paama Island in central Vanuatu.
  • E. Serliana
    Serliana is a classical architectural window motif featuring a large central arched opening flanked by two shorter rectangular openings, widely associated with Renaissance and Palladian design.
  • 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: Marliana
Triple: [Province of Pistoia, contains, Marliana]
Generated description
Marliana is a small Italian municipality in the Tuscany region, known for its hilly landscape and historic rural character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Marliana
Target entity description: Marliana is a small Italian municipality in the Tuscany region, known for its hilly landscape and historic rural character.
  • A. Mihna
    The Mihna was an Islamic inquisition instituted in the 9th century that tested and persecuted scholars over their adherence to the doctrine of the createdness of the Qur’an.
  • B. Nazarin
    Nazarin is a 1959 Spanish-Mexican drama film directed by Luis Buñuel, acclaimed for its exploration of faith, morality, and social injustice.
  • C. Madama
    Madama is a Palestinian village located in the Nablus Governorate in the northern West Bank.
  • D. Paama
    Paama is an Oceanic language spoken primarily on Paama Island in central Vanuatu.
  • E. Serliana
    Serliana is a classical architectural window motif featuring a large central arched opening flanked by two shorter rectangular openings, widely associated with Renaissance and Palladian design.
  • 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_69ca848a5a908190aad251f4137b0c3a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b552a1c81909a1fab347110eeb1 completed April 1, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18248ffe4819095d4ea20951eca01 completed April 4, 2026, 9:27 p.m.
NEDg Description generation batch_69d1864bd0b881908806762ce9df3029 completed April 4, 2026, 9:44 p.m.
NED2 Entity disambiguation (via description) batch_69d186d03eac8190a1080d5c25f4643c completed April 4, 2026, 9:46 p.m.
Created at: March 30, 2026, 8:12 p.m.