Triple

T10144382
Position Surface form Disambiguated ID Type / Status
Subject Porto District E231665 entity
Predicate containsCity P294 FINISHED
Object Maia
Maia is a Portuguese city in the Porto metropolitan area, known for its industrial base, transport links, and proximity to Porto.
 E844967 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: Maia | Statement: [Porto District, containsCity, Maia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Maia
Context triple: [Porto District, containsCity, Maia]
  • A. Maia
    Maia are powerful immortal spirits in J.R.R. Tolkien’s legendarium who serve the Valar and often act as guides or guardians to the peoples of Middle-earth.
  • B. Maia
    Maia is a figure from Greek mythology, one of the Pleiades and the mother of the god Hermes.
  • C. Maia
    Maia is a fantasy novel by Richard Adams set in the same world as his book "Shardik," following the adventures of a young slave girl in a richly detailed, politically complex empire.
  • D. Maia
    Maia is a common Portuguese surname borne by numerous notable figures in Portugal’s history and public life.
  • E. Maeva
    Maeva is a traditional lakeside village on the island of Huahine in French Polynesia, known for its well-preserved archaeological sites and ancient Polynesian marae.
  • 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: Maia
Triple: [Porto District, containsCity, Maia]
Generated description
Maia is a Portuguese city in the Porto metropolitan area, known for its industrial base, transport links, and proximity to Porto.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Maia
Target entity description: Maia is a Portuguese city in the Porto metropolitan area, known for its industrial base, transport links, and proximity to Porto.
  • A. Maia
    Maia is a figure from Greek mythology, one of the Pleiades and the mother of the god Hermes.
  • B. Maia
    Maia are powerful immortal spirits in J.R.R. Tolkien’s legendarium who serve the Valar and often act as guides or guardians to the peoples of Middle-earth.
  • C. Maia
    Maia is a fantasy novel by Richard Adams set in the same world as his book "Shardik," following the adventures of a young slave girl in a richly detailed, politically complex empire.
  • D. Maia
    Maia is a common Portuguese surname borne by numerous notable figures in Portugal’s history and public life.
  • E. Maeva
    Maeva is a traditional lakeside village on the island of Huahine in French Polynesia, known for its well-preserved archaeological sites and ancient Polynesian marae.
  • 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_69ca848364f881908a24366a6feec1db completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdeb28a1708190b46499dbe51a694a completed April 2, 2026, 4:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d3008e56a481908d64077851063dbf completed April 6, 2026, 12:38 a.m.
NEDg Description generation batch_69d302537a548190b211727dd124cba6 completed April 6, 2026, 12:46 a.m.
NED2 Entity disambiguation (via description) batch_69d3033245448190bcc802b7dbd274fc completed April 6, 2026, 12:49 a.m.
Created at: March 30, 2026, 9:07 p.m.