Triple

T22995812
Position Surface form Disambiguated ID Type / Status
Subject Metrô do Recife E572186 entity
Predicate hasLine P35 FINISHED
Object Linha Sul
Linha Sul is one of the main lines of the Recife Metro system in Brazil, serving key areas in the southern part of the metropolitan region.
E1565251 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: Linha Sul | Statement: [Metrô do Recife, hasLine, Linha Sul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Linha Sul
Context triple: [Metrô do Recife, hasLine, Linha Sul]
  • A. Linha do Sul
    Linha do Sul is a major Portuguese railway line that connects Lisbon to the southern Algarve region, serving as a key route for both passenger and freight transport.
  • B. Linha do Leste
    Linha do Leste is a historic Portuguese railway line in eastern Portugal that connects the country to the Spanish rail network.
  • C. Eje 6 Sur
    Eje 6 Sur is a major east–west arterial road in Mexico City that runs through several neighborhoods, including Colonia del Valle.
  • D. Linha do Oeste
    Linha do Oeste is a major Portuguese railway line running along the country’s western coast, connecting Lisbon’s outskirts with several central-western cities and towns.
  • E. Eje 10 Sur
    Eje 10 Sur is a major east–west thoroughfare in Mexico City that runs through several southern neighborhoods and connects important residential and university areas.
  • 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: Linha Sul
Triple: [Metrô do Recife, hasLine, Linha Sul]
Generated description
Linha Sul is one of the main lines of the Recife Metro system in Brazil, serving key areas in the southern part of the metropolitan region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Linha Sul
Target entity description: Linha Sul is one of the main lines of the Recife Metro system in Brazil, serving key areas in the southern part of the metropolitan region.
  • A. Linha do Sul
    Linha do Sul is a major Portuguese railway line that connects Lisbon to the southern Algarve region, serving as a key route for both passenger and freight transport.
  • B. Linha do Leste
    Linha do Leste is a historic Portuguese railway line in eastern Portugal that connects the country to the Spanish rail network.
  • C. Eje 6 Sur
    Eje 6 Sur is a major east–west arterial road in Mexico City that runs through several neighborhoods, including Colonia del Valle.
  • D. Linha do Oeste
    Linha do Oeste is a major Portuguese railway line running along the country’s western coast, connecting Lisbon’s outskirts with several central-western cities and towns.
  • E. Eje 10 Sur
    Eje 10 Sur is a major east–west thoroughfare in Mexico City that runs through several southern neighborhoods and connects important residential and university areas.
  • 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_69e245b535808190adef8a9df3c584db completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f182f3186c81909e0d5177029a72ae completed April 29, 2026, 4:02 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bd37cd30c8190ae2fa99f18b59b94 completed May 19, 2026, 3:05 a.m.
NEDg Description generation batch_6a0bd43af7948190886a30522f3b6c8a completed May 19, 2026, 3:08 a.m.
NED2 Entity disambiguation (via description) batch_6a0bd503b1588190979b9895327a3475 completed May 19, 2026, 3:12 a.m.
Created at: April 17, 2026, 3:50 p.m.