Triple

T7669236
Position Surface form Disambiguated ID Type / Status
Subject Province of Pescara E173704 entity
Predicate contains P35 FINISHED
Object Alanno
Alanno is a small Italian town in the Abruzzo region, known for its historic center, religious architecture, and surrounding agricultural landscape.
E679697 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: Alanno | Statement: [Province of Pescara, contains, Alanno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alanno
Context triple: [Province of Pescara, contains, Alanno]
  • A. Merle
    Merle is a given name most famously associated with American country music legend Merle Haggard.
  • B. Landseer
    Landseer is the middle name of renowned British architect Sir Edwin Lutyens, best known for his influential country houses and war memorial designs.
  • C. St Bernard
    The St Bernard is a large, gentle Swiss working dog breed historically famed for rescuing travelers in the Alps.
  • D. Allandale
    Allandale is a locality in New South Wales, Australia, situated in the Hunter Region near the town of Lochinvar.
  • E. Collie
    Collie is a town in the South West of Western Australia known historically for its coal mining industry and surrounding forested landscapes.
  • 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: Alanno
Triple: [Province of Pescara, contains, Alanno]
Generated description
Alanno is a small Italian town in the Abruzzo region, known for its historic center, religious architecture, and surrounding agricultural landscape.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Alanno
Target entity description: Alanno is a small Italian town in the Abruzzo region, known for its historic center, religious architecture, and surrounding agricultural landscape.
  • A. Merle
    Merle is a given name most famously associated with American country music legend Merle Haggard.
  • B. Landseer
    Landseer is the middle name of renowned British architect Sir Edwin Lutyens, best known for his influential country houses and war memorial designs.
  • C. St Bernard
    The St Bernard is a large, gentle Swiss working dog breed historically famed for rescuing travelers in the Alps.
  • D. Allandale
    Allandale is a locality in New South Wales, Australia, situated in the Hunter Region near the town of Lochinvar.
  • E. Collie
    Collie is a town in the South West of Western Australia known historically for its coal mining industry and surrounding forested landscapes.
  • 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_69c699562484819086752091e3164a27 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c701c3ff38819090d65ac4ae218750 completed March 27, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89b29232c81908568eda38c2ac12a completed March 29, 2026, 3:23 a.m.
NEDg Description generation batch_69c89d3eb9bc819099af036126e0ac4d completed March 29, 2026, 3:32 a.m.
NED2 Entity disambiguation (via description) batch_69c89d9255e08190b248f0c3fc858bc5 completed March 29, 2026, 3:33 a.m.
Created at: March 27, 2026, 4 p.m.