Triple

T13175254
Position Surface form Disambiguated ID Type / Status
Subject Nalón E313081 entity
Predicate passesNear P416 FINISHED
Object Sama
Sama is a town in northern Spain’s Asturias region, situated in the Nalón River valley and known historically for its coal-mining and industrial heritage.
 E1025234 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: Sama | Statement: [Nalón, passesNear, Sama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sama
Context triple: [Nalón, passesNear, Sama]
  • A. Sama
    Sama is an Austronesian language spoken by the Sama-Bajau people of the southern Philippines and parts of Malaysia and Indonesia.
  • B. Samu
    Samu is a given name, commonly used as a short form or variant of Samuel in various cultures.
  • C. Shama
    Shama is a coastal town in Ghana known historically as a fishing community and trading post along the Gulf of Guinea.
  • D. Sindo
    Sindo is an island and administrative division of Ongjin County in Incheon, South Korea, known for its rural landscape and coastal environment.
  • E. Seia
    Seia is a municipality and town in central Portugal known for its proximity to the Serra da Estrela mountains and natural 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: Sama
Triple: [Nalón, passesNear, Sama]
Generated description
Sama is a town in northern Spain’s Asturias region, situated in the Nalón River valley and known historically for its coal-mining and industrial heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sama
Target entity description: Sama is a town in northern Spain’s Asturias region, situated in the Nalón River valley and known historically for its coal-mining and industrial heritage.
  • A. Sama
    Sama is an Austronesian language spoken by the Sama-Bajau people of the southern Philippines and parts of Malaysia and Indonesia.
  • B. Samu
    Samu is a given name, commonly used as a short form or variant of Samuel in various cultures.
  • C. Shama
    Shama is a coastal town in Ghana known historically as a fishing community and trading post along the Gulf of Guinea.
  • D. Sindo
    Sindo is an island and administrative division of Ongjin County in Incheon, South Korea, known for its rural landscape and coastal environment.
  • E. Seia
    Seia is a municipality and town in central Portugal known for its proximity to the Serra da Estrela mountains and natural 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_69d806ac3ee081909b2fd27d060aa974 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c303e3c819086cf0f0b6d9e61ca completed April 10, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eafe03c48190992df41f77fb043e completed May 3, 2026, 6:28 a.m.
NEDg Description generation batch_69f6f02dcce88190bdb07e271a52729a completed May 3, 2026, 6:50 a.m.
NED2 Entity disambiguation (via description) batch_69f6f09ff1088190812008373c0553d5 completed May 3, 2026, 6:52 a.m.
Created at: April 9, 2026, 9:14 p.m.