Triple

T21276798
Position Surface form Disambiguated ID Type / Status
Subject Almeirim E524408 entity
Predicate hasParish P35 FINISHED
Object Raposa
Raposa is a civil parish located within the municipality of Almeirim in Portugal.
E1474382 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: Raposa | Statement: [Almeirim, hasParish, Raposa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raposa
Context triple: [Almeirim, hasParish, Raposa]
  • A. Raposa
    Raposa is a coastal municipality in the Brazilian state of Maranhão, known for its fishing communities, mangroves, and traditional lace-making.
  • B. Koonch
    Koonch is a town in the Indian state of Uttar Pradesh, historically notable as the site of a significant battle during the Indian Rebellion of 1857.
  • C. Ratufa
    Ratufa is a genus of large, colorful Old World giant squirrels native to the forests of South and Southeast Asia.
  • D. Woppaburra
    Woppaburra are an Aboriginal clan traditionally associated with the Keppel Islands region off the central coast of Queensland, Australia.
  • E. Dolopes
    The Dolopes were an ancient Greek tribe from a mountainous region in Thessaly, known from early epic tradition and later as a minor member of wider Greek political and religious alliances.
  • 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: Raposa
Triple: [Almeirim, hasParish, Raposa]
Generated description
Raposa is a civil parish located within the municipality of Almeirim in Portugal.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Raposa
Target entity description: Raposa is a civil parish located within the municipality of Almeirim in Portugal.
  • A. Raposa
    Raposa is a coastal municipality in the Brazilian state of Maranhão, known for its fishing communities, mangroves, and traditional lace-making.
  • B. Koonch
    Koonch is a town in the Indian state of Uttar Pradesh, historically notable as the site of a significant battle during the Indian Rebellion of 1857.
  • C. Ratufa
    Ratufa is a genus of large, colorful Old World giant squirrels native to the forests of South and Southeast Asia.
  • D. Woppaburra
    Woppaburra are an Aboriginal clan traditionally associated with the Keppel Islands region off the central coast of Queensland, Australia.
  • E. Dolopes
    The Dolopes were an ancient Greek tribe from a mountainous region in Thessaly, known from early epic tradition and later as a minor member of wider Greek political and religious alliances.
  • 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_69e0b516293c819089458ea2ec85f85e completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e736583c08819087a4726538e703e2 completed April 21, 2026, 8:33 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09900abbe48190867b778c29a7820e completed May 17, 2026, 9:53 a.m.
NEDg Description generation batch_6a0990e73c708190ac0f5d8847743773 completed May 17, 2026, 9:56 a.m.
NED2 Entity disambiguation (via description) batch_6a0991f9c9308190a2d90451e255a1c2 completed May 17, 2026, 10:01 a.m.
Created at: April 16, 2026, 4:02 p.m.