Triple

T6155718
Position Surface form Disambiguated ID Type / Status
Subject Santanyí E137314 entity
Predicate region P40 FINISHED
Object Migjorn
Migjorn is a comarca (county) in the southeast of the island of Mallorca in Spain’s Balearic Islands.
 E573400 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: Migjorn | Statement: [Santanyí, region, Migjorn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Migjorn
Context triple: [Santanyí, region, Migjorn]
  • A. Märsta
    Märsta is a town in Stockholm County, Sweden, known as a residential and transport hub near Stockholm Arlanda Airport.
  • B. Margush
    Margush is an ancient historical region corresponding to the area around the oasis city of Merv in present-day Turkmenistan, once a major center on the Silk Road.
  • C. Möja
    Möja is a scenic inhabited island in Sweden’s Stockholm archipelago, known for its traditional fishing villages, guest harbors, and popular summer tourism.
  • D. Murgtal
    Murgtal is a scenic valley in the northern Black Forest of Germany, known for its steep forested slopes, the River Murg, and traditional spa and timber towns.
  • E. Mosen
    Mosen is a small Swiss village in the canton of Lucerne, situated in a rural lakeside setting in central Switzerland.
  • 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: Migjorn
Triple: [Santanyí, region, Migjorn]
Generated description
Migjorn is a comarca (county) in the southeast of the island of Mallorca in Spain’s Balearic Islands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Migjorn
Target entity description: Migjorn is a comarca (county) in the southeast of the island of Mallorca in Spain’s Balearic Islands.
  • A. Märsta
    Märsta is a town in Stockholm County, Sweden, known as a residential and transport hub near Stockholm Arlanda Airport.
  • B. Margush
    Margush is an ancient historical region corresponding to the area around the oasis city of Merv in present-day Turkmenistan, once a major center on the Silk Road.
  • C. Möja
    Möja is a scenic inhabited island in Sweden’s Stockholm archipelago, known for its traditional fishing villages, guest harbors, and popular summer tourism.
  • D. Murgtal
    Murgtal is a scenic valley in the northern Black Forest of Germany, known for its steep forested slopes, the River Murg, and traditional spa and timber towns.
  • E. Mosen
    Mosen is a small Swiss village in the canton of Lucerne, situated in a rural lakeside setting in central Switzerland.
  • 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_69c008a45d008190832a9e19f5d63406 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05d0376408190a2233375f478377e completed March 22, 2026, 9:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c141867fac819093a3093aa8251eac completed March 23, 2026, 1:35 p.m.
NEDg Description generation batch_69c14794c3488190874b0a4d2c00514d completed March 23, 2026, 2 p.m.
NED2 Entity disambiguation (via description) batch_69c1480b10f08190891bfc8488bbaf16 completed March 23, 2026, 2:02 p.m.
Created at: March 22, 2026, 4:17 p.m.