Triple

T12312550
Position Surface form Disambiguated ID Type / Status
Subject Hortolândia E293515 entity
Predicate locatedNear P294 FINISHED
Object Monte Mor
Monte Mor is a municipality in the state of São Paulo, Brazil, known for its role in the Campinas metropolitan region and its growing industrial and residential development.
E1001455 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: Monte Mor | Statement: [Hortolândia, locatedNear, Monte Mor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monte Mor
Context triple: [Hortolândia, locatedNear, Monte Mor]
  • A. Monte Brown
    Monte Brown is a musician best known for his work with the new wave band Tom Tom Club.
  • B. Monte Blue
    Monte Blue was an American film actor prominent during the silent era and early sound period, known for his leading and character roles in numerous Hollywood productions.
  • C. Monte Markham
    Monte Markham is an American actor and producer known for his extensive work in television and film since the 1960s, including roles in series such as "Barnaby Jones" and "Baywatch."
  • D. Mount Serra
    Mount Serra is a geographical feature in Liberia that lent its name to Montserrado County, one of the country’s key administrative regions.
  • E. Monte Calvo
    Monte Calvo is a prominent mountain peak in Italy’s Gargano region, known as the highest elevation on the Gargano Peninsula.
  • 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: Monte Mor
Triple: [Hortolândia, locatedNear, Monte Mor]
Generated description
Monte Mor is a municipality in the state of São Paulo, Brazil, known for its role in the Campinas metropolitan region and its growing industrial and residential development.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Monte Mor
Target entity description: Monte Mor is a municipality in the state of São Paulo, Brazil, known for its role in the Campinas metropolitan region and its growing industrial and residential development.
  • A. Monte Brown
    Monte Brown is a musician best known for his work with the new wave band Tom Tom Club.
  • B. Monte Blue
    Monte Blue was an American film actor prominent during the silent era and early sound period, known for his leading and character roles in numerous Hollywood productions.
  • C. Monte Markham
    Monte Markham is an American actor and producer known for his extensive work in television and film since the 1960s, including roles in series such as "Barnaby Jones" and "Baywatch."
  • D. Mount Serra
    Mount Serra is a geographical feature in Liberia that lent its name to Montserrado County, one of the country’s key administrative regions.
  • E. Monte Calvo
    Monte Calvo is a prominent mountain peak in Italy’s Gargano region, known as the highest elevation on the Gargano Peninsula.
  • 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_69d6ab6a2b50819082f6aedd32ed608a completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f03d3c88190baedffb83465bff8 completed April 10, 2026, 6:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684ce31808190b66bd0ba1d9d2862 completed May 2, 2026, 11:12 p.m.
NEDg Description generation batch_69f685dac5cc8190b4bc2d81186c9266 completed May 2, 2026, 11:16 p.m.
NED2 Entity disambiguation (via description) batch_69f6869156048190b548ecd04561deb8 completed May 2, 2026, 11:19 p.m.
Created at: April 8, 2026, 9:53 p.m.