Triple

T11010686
Position Surface form Disambiguated ID Type / Status
Subject El Panecillo E260237 entity
Predicate hasNearbyDistrict P4647 FINISHED
Object La Tola
La Tola is a traditional historic neighborhood in central Quito, Ecuador, known for its colonial-era architecture and proximity to the El Panecillo hill.
 E899457 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: La Tola | Statement: [El Panecillo, hasNearbyDistrict, La Tola]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: La Tola
Context triple: [El Panecillo, hasNearbyDistrict, La Tola]
  • A. Tolomako
    Tolomako is an Oceanic language spoken on Espiritu Santo in Vanuatu, known for its relatively simple phonology and grammar.
  • B. Atalaya
    Atalaya is a small Peruvian river port town in the Amazon rainforest, serving as a regional hub for transport and trade.
  • C. Tolú
    Tolú is a coastal municipality and popular tourist destination on Colombia’s Caribbean Sea, known for its beaches and proximity to the Gulf of Morrosquillo.
  • D. Pacasmayo
    Pacasmayo is a coastal city in northern Peru known for its long pier, surfing beaches, and colonial-era architecture.
  • E. Comayagüela
    Comayagüela is a major urban district of Honduras that, together with Tegucigalpa, forms the country’s capital area.
  • 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: La Tola
Triple: [El Panecillo, hasNearbyDistrict, La Tola]
Generated description
La Tola is a traditional historic neighborhood in central Quito, Ecuador, known for its colonial-era architecture and proximity to the El Panecillo hill.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: La Tola
Target entity description: La Tola is a traditional historic neighborhood in central Quito, Ecuador, known for its colonial-era architecture and proximity to the El Panecillo hill.
  • A. Tolomako
    Tolomako is an Oceanic language spoken on Espiritu Santo in Vanuatu, known for its relatively simple phonology and grammar.
  • B. Atalaya
    Atalaya is a small Peruvian river port town in the Amazon rainforest, serving as a regional hub for transport and trade.
  • C. Tolú
    Tolú is a coastal municipality and popular tourist destination on Colombia’s Caribbean Sea, known for its beaches and proximity to the Gulf of Morrosquillo.
  • D. Pacasmayo
    Pacasmayo is a coastal city in northern Peru known for its long pier, surfing beaches, and colonial-era architecture.
  • E. Comayagüela
    Comayagüela is a major urban district of Honduras that, together with Tegucigalpa, forms the country’s capital area.
  • 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_69d6aa9687448190b28d353b1b6a610e completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797899a388190aa8fe813eac4dba7 completed April 9, 2026, 12:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69e374ac78348190a8c0a5a7a736b24b completed April 18, 2026, 12:10 p.m.
NEDg Description generation batch_69e378dcc92c8190952d4acfee2a309c completed April 18, 2026, 12:28 p.m.
NED2 Entity disambiguation (via description) batch_69e37be75a588190abb9569ef1e87279 completed April 18, 2026, 12:41 p.m.
Created at: April 8, 2026, 9:25 p.m.