Triple

T9077175
Position Surface form Disambiguated ID Type / Status
Subject Figline Valdarno E217516 entity
Predicate demonym P191 FINISHED
Object Figlinesi
Figlinesi are the inhabitants of Figline Valdarno, a town in the Tuscany region of Italy.
 E776749 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: Figlinesi | Statement: [Figline Valdarno, demonym, Figlinesi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Figlinesi
Context triple: [Figline Valdarno, demonym, Figlinesi]
  • A. Nigoglia
    Nigoglia is the short river in northern Italy that uniquely flows northward out of Lake Orta toward the Strona and ultimately the Toce River.
  • B. Italus
    Italus is a figure from Roman and Italic legend often regarded as an eponymous ancestor or king associated with the naming and early civilization of Italy.
  • C. Raguil
    Raguil is an alternative spelling of Raguel, a traditional archangel name found in various Judeo-Christian angelologies.
  • D. Lihiric
    Lihiric is an Oceanic language spoken by the Lihir people of the Lihir Islands in Papua New Guinea.
  • E. Felindre
    Felindre is a small rural village in Wales situated within the City and County of Swansea, known for its scenic surroundings and traditional community character.
  • 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: Figlinesi
Triple: [Figline Valdarno, demonym, Figlinesi]
Generated description
Figlinesi are the inhabitants of Figline Valdarno, a town in the Tuscany region of Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Figlinesi
Target entity description: Figlinesi are the inhabitants of Figline Valdarno, a town in the Tuscany region of Italy.
  • A. Nigoglia
    Nigoglia is the short river in northern Italy that uniquely flows northward out of Lake Orta toward the Strona and ultimately the Toce River.
  • B. Italus
    Italus is a figure from Roman and Italic legend often regarded as an eponymous ancestor or king associated with the naming and early civilization of Italy.
  • C. Raguil
    Raguil is an alternative spelling of Raguel, a traditional archangel name found in various Judeo-Christian angelologies.
  • D. Lihiric
    Lihiric is an Oceanic language spoken by the Lihir people of the Lihir Islands in Papua New Guinea.
  • E. Felindre
    Felindre is a small rural village in Wales situated within the City and County of Swansea, known for its scenic surroundings and traditional community character.
  • 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_69ca83d6c14c8190bc056d927f00a2a2 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc95c6a67c81908d143aa25e1e803e completed April 1, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69cffe0fade4819093e4d1d91aca1d3f completed April 3, 2026, 5:51 p.m.
NEDg Description generation batch_69d0013b50e081909595efe822bf5565 completed April 3, 2026, 6:04 p.m.
NED2 Entity disambiguation (via description) batch_69d001f04db48190aaa1fb9efb36df2b completed April 3, 2026, 6:07 p.m.
Created at: March 30, 2026, 7:12 p.m.