Triple

T1136411
Position Surface form Disambiguated ID Type / Status
Subject Mallorca E23149 entity
Predicate hasTown P847 FINISHED
Object Felanitx
Felanitx is a historic inland town and wine-producing municipality in the southeast of the Spanish island of Mallorca.
 E146559 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: Felanitx | Statement: [Mallorca, hasTown, Felanitx]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Felanitx
Context triple: [Mallorca, hasTown, Felanitx]
  • A. Freirina
    Freirina is a small town and commune in northern Chile known for its agricultural activity and historic architecture within the Atacama Region.
  • B. Fertagus
    Fertagus is a private suburban rail operator serving the Lisbon metropolitan area, notably running commuter trains across the 25 de Abril Bridge between Lisbon and the Setúbal Peninsula.
  • C. Huelén
    Huelén is the former indigenous name for Cerro Santa Lucía, a historic hill and urban park in central Santiago, Chile.
  • D. Yeola
    Yeola is a town in the Nashik district of Maharashtra, India, known historically as the birthplace of the Indian freedom fighter Tatya Tope.
  • E. Tynaarlo
    Tynaarlo is a municipality in the northeastern Netherlands known for its rural character and location between the cities of Groningen and Assen.
  • 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: Felanitx
Triple: [Mallorca, hasTown, Felanitx]
Generated description
Felanitx is a historic inland town and wine-producing municipality in the southeast of the Spanish island of Mallorca.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Felanitx
Target entity description: Felanitx is a historic inland town and wine-producing municipality in the southeast of the Spanish island of Mallorca.
  • A. Freirina
    Freirina is a small town and commune in northern Chile known for its agricultural activity and historic architecture within the Atacama Region.
  • B. Fertagus
    Fertagus is a private suburban rail operator serving the Lisbon metropolitan area, notably running commuter trains across the 25 de Abril Bridge between Lisbon and the Setúbal Peninsula.
  • C. Huelén
    Huelén is the former indigenous name for Cerro Santa Lucía, a historic hill and urban park in central Santiago, Chile.
  • D. Yeola
    Yeola is a town in the Nashik district of Maharashtra, India, known historically as the birthplace of the Indian freedom fighter Tatya Tope.
  • E. Tynaarlo
    Tynaarlo is a municipality in the northeastern Netherlands known for its rural character and location between the cities of Groningen and Assen.
  • 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_69a493ec75988190b63a11bafaec29b4 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bc2300c481908c60fbb1188c37c5 completed March 1, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69aca2e36fc081908de3b67293c7bbf6 completed March 7, 2026, 10:12 p.m.
NEDg Description generation batch_69aca391037c8190b6f256fcd1ac882e completed March 7, 2026, 10:15 p.m.
NED2 Entity disambiguation (via description) batch_69aca42e7c74819089666f4940ea6d4d completed March 7, 2026, 10:18 p.m.
Created at: March 1, 2026, 7:44 p.m.