Triple

T22671763
Position Surface form Disambiguated ID Type / Status
Subject Los Monegros comarca E560234 entity
Predicate containsSettlement P847 FINISHED
Object Lanaja
Lanaja is a small municipality in northeastern Spain, situated in the arid, steppe-like landscape of the Los Monegros region in Aragon.
E1548683 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: Lanaja | Statement: [Los Monegros comarca, containsSettlement, Lanaja]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lanaja
Context triple: [Los Monegros comarca, containsSettlement, Lanaja]
  • A. Laja
    Laja is a small Chilean city in the Biobío Region, known for its riverside setting and proximity to the Biobío River.
  • B. Lanuza
    Lanuza is a coastal municipality in the Philippine province of Surigao del Sur known for its surfing spots and natural scenery.
  • C. Lanuza
    Lanuza is a small mountain village in the Spanish Pyrenees, known for its scenic reservoir setting and traditional stone architecture.
  • D. Lanaken
    Lanaken is a municipality in the Belgian province of Limburg, known for its proximity to Maastricht and its mix of residential areas, industry, and natural landscapes.
  • E. Comala
    Comala is the haunting, ghostly Mexican town that serves as the central setting of Juan Rulfo’s novel "Pedro Páramo."
  • 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: Lanaja
Triple: [Los Monegros comarca, containsSettlement, Lanaja]
Generated description
Lanaja is a small municipality in northeastern Spain, situated in the arid, steppe-like landscape of the Los Monegros region in Aragon.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lanaja
Target entity description: Lanaja is a small municipality in northeastern Spain, situated in the arid, steppe-like landscape of the Los Monegros region in Aragon.
  • A. Laja
    Laja is a small Chilean city in the Biobío Region, known for its riverside setting and proximity to the Biobío River.
  • B. Lanuza
    Lanuza is a small mountain village in the Spanish Pyrenees, known for its scenic reservoir setting and traditional stone architecture.
  • C. Lanuza
    Lanuza is a coastal municipality in the Philippine province of Surigao del Sur known for its surfing spots and natural scenery.
  • D. Lanaken
    Lanaken is a municipality in the Belgian province of Limburg, known for its proximity to Maastricht and its mix of residential areas, industry, and natural landscapes.
  • E. Comala
    Comala is the haunting, ghostly Mexican town that serves as the central setting of Juan Rulfo’s novel "Pedro Páramo."
  • 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_69e2454bfd00819099115715a22cb057 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f17820a8088190bc0ce907adf95863 completed April 29, 2026, 3:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b73ed2d588190a9d9382c11fbb1a5 completed May 18, 2026, 8:17 p.m.
NEDg Description generation batch_6a0b7505c99081908a9faac30451e6e8 completed May 18, 2026, 8:22 p.m.
NED2 Entity disambiguation (via description) batch_6a0b761510b48190a09722be3fca7e93 completed May 18, 2026, 8:27 p.m.
Created at: April 17, 2026, 3:10 p.m.