Triple

T11627416
Position Surface form Disambiguated ID Type / Status
Subject Metropolitan City of Palermo E276306 entity
Predicate contains P35 FINISHED
Object Altofonte
Altofonte is a small Italian town in Sicily, situated in the hilly inland area near the city of Palermo.
 E938412 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: Altofonte | Statement: [Metropolitan City of Palermo, contains, Altofonte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Altofonte
Context triple: [Metropolitan City of Palermo, contains, Altofonte]
  • A. Altomonte
    Altomonte is a historic hill town in southern Italy’s Calabria region, known for its medieval architecture and scenic views over the surrounding countryside.
  • B. Norcino
    Norcino is the Italian demonym for a person from Norcia, a town in the Umbria region of central Italy.
  • C. Carovigno
    Carovigno is a historic town and popular tourist destination in Italy’s Apulia region, known for its medieval castle, olive groves, and proximity to the Adriatic coast.
  • D. Bignasco
    Bignasco is a small village in the canton of Ticino in southern Switzerland, known for its Alpine setting in the Maggia Valley.
  • E. Valenza
    Valenza is a historic town in Italy’s Piedmont region, known especially for its long-standing goldsmith and jewelry-making tradition.
  • 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: Altofonte
Triple: [Metropolitan City of Palermo, contains, Altofonte]
Generated description
Altofonte is a small Italian town in Sicily, situated in the hilly inland area near the city of Palermo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Altofonte
Target entity description: Altofonte is a small Italian town in Sicily, situated in the hilly inland area near the city of Palermo.
  • A. Altomonte
    Altomonte is a historic hill town in southern Italy’s Calabria region, known for its medieval architecture and scenic views over the surrounding countryside.
  • B. Norcino
    Norcino is the Italian demonym for a person from Norcia, a town in the Umbria region of central Italy.
  • C. Carovigno
    Carovigno is a historic town and popular tourist destination in Italy’s Apulia region, known for its medieval castle, olive groves, and proximity to the Adriatic coast.
  • D. Bignasco
    Bignasco is a small village in the canton of Ticino in southern Switzerland, known for its Alpine setting in the Maggia Valley.
  • E. Valenza
    Valenza is a historic town in Italy’s Piedmont region, known especially for its long-standing goldsmith and jewelry-making tradition.
  • 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_69d6aafa51148190ab84940694c00235 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a1259cd08190a75eeacb5e39b858 completed April 10, 2026, 7:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee87922b308190a16d026a75b1043e completed April 26, 2026, 9:45 p.m.
NEDg Description generation batch_69eeb3137f4c8190ba8ac48b2cb419b4 completed April 27, 2026, 12:51 a.m.
NED2 Entity disambiguation (via description) batch_69eee9845bec81909f0f9b005f75249a completed April 27, 2026, 4:43 a.m.
Created at: April 8, 2026, 9:39 p.m.