Triple

T8966856
Position Surface form Disambiguated ID Type / Status
Subject Risaralda Department E214157 entity
Predicate contains P35 FINISHED
Object Apía
Apía is a small Colombian town and municipality in the mountainous coffee-growing region of the Risaralda Department.
E769903 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: Apía | Statement: [Risaralda Department, contains, Apía]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Apía
Context triple: [Risaralda Department, contains, Apía]
  • A. Tahiti
    Tahiti is the largest island in French Polynesia, renowned for its volcanic mountains, lush rainforests, and world-famous surfing beaches in the South Pacific.
  • B. Atauro
    Atauro is a rugged, sparsely populated island north of Dili in Timor-Leste, known for its rich marine biodiversity and excellent diving and snorkeling sites.
  • C. Polino
    Polino is a small mountain village and municipality in the Umbria region of central Italy, known for its scenic Apennine landscapes and traditional rural character.
  • D. Nukunonu
    Nukunonu is one of the three atolls of Tokelau in the South Pacific Ocean, serving as an important administrative and population center of the territory.
  • E. Viti
    Viti is a small settlement located within Harku Parish in northern Estonia.
  • 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: Apía
Triple: [Risaralda Department, contains, Apía]
Generated description
Apía is a small Colombian town and municipality in the mountainous coffee-growing region of the Risaralda Department.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Apía
Target entity description: Apía is a small Colombian town and municipality in the mountainous coffee-growing region of the Risaralda Department.
  • A. Tahiti
    Tahiti is the largest island in French Polynesia, renowned for its volcanic mountains, lush rainforests, and world-famous surfing beaches in the South Pacific.
  • B. Atauro
    Atauro is a rugged, sparsely populated island north of Dili in Timor-Leste, known for its rich marine biodiversity and excellent diving and snorkeling sites.
  • C. Polino
    Polino is a small mountain village and municipality in the Umbria region of central Italy, known for its scenic Apennine landscapes and traditional rural character.
  • D. Nukunonu
    Nukunonu is one of the three atolls of Tokelau in the South Pacific Ocean, serving as an important administrative and population center of the territory.
  • E. Viti
    Viti is a small settlement located within Harku Parish in northern Estonia.
  • 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_69ca839cd6008190a1546a701a56710c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc676389948190aa78fdf6a5ae74a5 completed April 1, 2026, 12:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc95879c08190b0091548c8c00207 completed April 3, 2026, 2:06 p.m.
NEDg Description generation batch_69cfcb42e6ec8190b126163bf4472986 completed April 3, 2026, 2:14 p.m.
NED2 Entity disambiguation (via description) batch_69cfcbba82e88190b40e9721c835fff0 completed April 3, 2026, 2:16 p.m.
Created at: March 30, 2026, 7:01 p.m.