Triple

T16451921
Position Surface form Disambiguated ID Type / Status
Subject Regio IV Samnium E399571 entity
Predicate contains P35 FINISHED
Object Cales
Cales is an ancient town in the region of Samnium in central-southern Italy, historically significant within the Roman administrative and geographic landscape.
E1213010 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: Cales | Statement: [Regio IV Samnium, contains, Cales]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cales
Context triple: [Regio IV Samnium, contains, Cales]
  • A. Cale
    Cale is a given name used for people and fictional characters, often as a variant of Kale or short form of names like Caleb.
  • B. Calez
    Calez is a Chicago-based hip-hop artist known for his introspective lyrics and collaborations within the city's independent rap scene.
  • C. Carris
    Carris is the main public transport company in Lisbon, Portugal, operating the city's buses, trams, and certain historic lifts.
  • D. Calsan
    Calsan is a character from Terry Mancour’s Spellmonger fantasy series, known for his role within the magically charged, war-torn world of Callidore.
  • E. Clelles
    Clelles is a small commune in southeastern France’s Isère department, known as a gateway village to the Vercors Massif and the iconic Mont Aiguille.
  • 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: Cales
Triple: [Regio IV Samnium, contains, Cales]
Generated description
Cales is an ancient town in the region of Samnium in central-southern Italy, historically significant within the Roman administrative and geographic landscape.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cales
Target entity description: Cales is an ancient town in the region of Samnium in central-southern Italy, historically significant within the Roman administrative and geographic landscape.
  • A. Cale
    Cale is a given name used for people and fictional characters, often as a variant of Kale or short form of names like Caleb.
  • B. Calez
    Calez is a Chicago-based hip-hop artist known for his introspective lyrics and collaborations within the city's independent rap scene.
  • C. Carris
    Carris is the main public transport company in Lisbon, Portugal, operating the city's buses, trams, and certain historic lifts.
  • D. Calsan
    Calsan is a character from Terry Mancour’s Spellmonger fantasy series, known for his role within the magically charged, war-torn world of Callidore.
  • E. Clelles
    Clelles is a small commune in southeastern France’s Isère department, known as a gateway village to the Vercors Massif and the iconic Mont Aiguille.
  • 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_69d87f2c6778819080fcfae53be8f12a completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32ce19344819083d323077b742bc3 completed April 18, 2026, 7:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004598ec088190be80ad70e3f1357e completed May 10, 2026, 8:45 a.m.
NEDg Description generation batch_6a00461390608190848c3b896042f1fd completed May 10, 2026, 8:47 a.m.
NED2 Entity disambiguation (via description) batch_6a0046a88e048190baa78506808171b8 completed May 10, 2026, 8:49 a.m.
Created at: April 10, 2026, 5:10 a.m.