Triple

T10174380
Position Surface form Disambiguated ID Type / Status
Subject Province of Massa-Carrara E235812 entity
Predicate contains P35 FINISHED
Object Zeri
Zeri is a small mountainous municipality in the Tuscany region of central Italy, known for its rural landscapes and traditional pastoral culture.
 E846108 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: Zeri | Statement: [Province of Massa-Carrara, contains, Zeri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zeri
Context triple: [Province of Massa-Carrara, contains, Zeri]
  • A. Keila
    Keila is a small town in northern Estonia known for its historic church, scenic Keila River and waterfall, and role as a local administrative and transport hub.
  • B. Orsa
    Orsa is a small locality and municipality in central Sweden known for its forests, lakes, and traditional Dalarna culture.
  • C. Zezuru
    Zezuru is a major dialect of the Shona language spoken primarily in central and northern Zimbabwe.
  • D. Yoron
    Yoron is a small subtropical island town in Japan’s Kagoshima Prefecture, known for its coral reefs, white-sand beaches, and traditional Ryukyuan-influenced culture.
  • E. Zal
    Zal is a legendary white-haired hero and warrior from Persian mythology, best known as the father of the champion Rostam in Ferdowsi’s epic Shahnameh.
  • 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: Zeri
Triple: [Province of Massa-Carrara, contains, Zeri]
Generated description
Zeri is a small mountainous municipality in the Tuscany region of central Italy, known for its rural landscapes and traditional pastoral culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zeri
Target entity description: Zeri is a small mountainous municipality in the Tuscany region of central Italy, known for its rural landscapes and traditional pastoral culture.
  • A. Keila
    Keila is a small town in northern Estonia known for its historic church, scenic Keila River and waterfall, and role as a local administrative and transport hub.
  • B. Orsa
    Orsa is a small locality and municipality in central Sweden known for its forests, lakes, and traditional Dalarna culture.
  • C. Zezuru
    Zezuru is a major dialect of the Shona language spoken primarily in central and northern Zimbabwe.
  • D. Yoron
    Yoron is a small subtropical island town in Japan’s Kagoshima Prefecture, known for its coral reefs, white-sand beaches, and traditional Ryukyuan-influenced culture.
  • E. Zal
    Zal is a legendary white-haired hero and warrior from Persian mythology, best known as the father of the champion Rostam in Ferdowsi’s epic Shahnameh.
  • 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_69ca84d1d5f88190ab878a1021ecff68 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdeca0dc508190916f2a1bbb288192 completed April 2, 2026, 4:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d3011742b48190bc8b8b6ba03c32b0 completed April 6, 2026, 12:40 a.m.
NEDg Description generation batch_69d3028994fc81908507449a10e7e093 completed April 6, 2026, 12:47 a.m.
NED2 Entity disambiguation (via description) batch_69d3031ed1e88190b9906338285a6e46 completed April 6, 2026, 12:49 a.m.
Created at: March 30, 2026, 9:11 p.m.