Triple

T16326596
Position Surface form Disambiguated ID Type / Status
Subject Llanganates National Park E396434 entity
Predicate mainAccessTown P22318 FINISHED
Object Salcedo
Salcedo is a town in Ecuador’s Cotopaxi Province known as a gateway to the remote Llanganates National Park and for its traditional Andean culture.
 E1207345 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: Salcedo | Statement: [Llanganates National Park, mainAccessTown, Salcedo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Salcedo
Context triple: [Llanganates National Park, mainAccessTown, Salcedo]
  • A. Salcedo
    Salcedo is a coastal municipality in the province of Eastern Samar in the Philippines, known for its fishing communities and rural landscapes.
  • B. Salcedo
    Salcedo is a rural municipality in the province of Ilocos Sur in the Philippines, known for its agricultural communities and mountainous landscapes.
  • C. Velasco
    Velasco is a Spanish-origin surname borne by various notable individuals across the Spanish-speaking world and beyond.
  • D. Balbuena
    Balbuena is a metro station on Mexico City’s Line 1 serving the Balbuena neighborhood in the eastern part of the city.
  • E. Falcón
    Falcón is a coastal state in northwestern Venezuela known for its desert landscapes, beaches, and the Médanos de Coro National Park.
  • 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: Salcedo
Triple: [Llanganates National Park, mainAccessTown, Salcedo]
Generated description
Salcedo is a town in Ecuador’s Cotopaxi Province known as a gateway to the remote Llanganates National Park and for its traditional Andean culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Salcedo
Target entity description: Salcedo is a town in Ecuador’s Cotopaxi Province known as a gateway to the remote Llanganates National Park and for its traditional Andean culture.
  • A. Salcedo
    Salcedo is a coastal municipality in the province of Eastern Samar in the Philippines, known for its fishing communities and rural landscapes.
  • B. Salcedo
    Salcedo is a rural municipality in the province of Ilocos Sur in the Philippines, known for its agricultural communities and mountainous landscapes.
  • C. Velasco
    Velasco is a Spanish-origin surname borne by various notable individuals across the Spanish-speaking world and beyond.
  • D. Balbuena
    Balbuena is a metro station on Mexico City’s Line 1 serving the Balbuena neighborhood in the eastern part of the city.
  • E. Falcón
    Falcón is a coastal state in northwestern Venezuela known for its desert landscapes, beaches, and the Médanos de Coro National Park.
  • 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_69d87f255b788190a400eba031dd85d8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e296bab8b48190b373b4efbd6f0d8c completed April 17, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00260f487c81909e3e54e47c11b83a completed May 10, 2026, 6:30 a.m.
NEDg Description generation batch_6a0027f09b588190b71d550d2a14868d completed May 10, 2026, 6:38 a.m.
NED2 Entity disambiguation (via description) batch_6a002899c8888190be247f5db60552e0 completed May 10, 2026, 6:41 a.m.
Created at: April 10, 2026, 5:06 a.m.