Triple

T19126131
Position Surface form Disambiguated ID Type / Status
Subject Santa Maria Maior (Lisbon) E468186 entity
Predicate contains P35 FINISHED
Object Campo das Cebolas
Campo das Cebolas is a historic riverside square in central Lisbon, known for its proximity to the Alfama district and the Lisbon Cathedral.
E1359568 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: Campo das Cebolas | Statement: [Santa Maria Maior (Lisbon), contains, Campo das Cebolas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Campo das Cebolas
Context triple: [Santa Maria Maior (Lisbon), contains, Campo das Cebolas]
  • A. The Cabbage
    The Cabbage is a colloquial nickname used by fans to refer to the Scottish football club Hibernian F.C.
  • B. Die Pfefferkörner
    Die Pfefferkörner is a German children's television series about a group of young detectives who solve crimes and mysteries in their city.
  • C. The Skewer
    The Skewer is a surreal, satirical BBC radio series that remixes news and current events into a darkly comic audio collage.
  • D. La Nueva Olla
    La Nueva Olla is the modern football stadium and home ground of Paraguayan club Cerro Porteño in Asunción.
  • E. La Coccinella
    La Coccinella is an Italian publishing imprint known for its children’s books, particularly interactive and educational titles.
  • 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: Campo das Cebolas
Triple: [Santa Maria Maior (Lisbon), contains, Campo das Cebolas]
Generated description
Campo das Cebolas is a historic riverside square in central Lisbon, known for its proximity to the Alfama district and the Lisbon Cathedral.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Campo das Cebolas
Target entity description: Campo das Cebolas is a historic riverside square in central Lisbon, known for its proximity to the Alfama district and the Lisbon Cathedral.
  • A. The Cabbage
    The Cabbage is a colloquial nickname used by fans to refer to the Scottish football club Hibernian F.C.
  • B. Die Pfefferkörner
    Die Pfefferkörner is a German children's television series about a group of young detectives who solve crimes and mysteries in their city.
  • C. The Skewer
    The Skewer is a surreal, satirical BBC radio series that remixes news and current events into a darkly comic audio collage.
  • D. La Nueva Olla
    La Nueva Olla is the modern football stadium and home ground of Paraguayan club Cerro Porteño in Asunción.
  • E. La Coccinella
    La Coccinella is an Italian publishing imprint known for its children’s books, particularly interactive and educational titles.
  • 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_69d8dd0796a48190b34ce4cd9d3f3be5 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e3cc5ba08190a1073f2836caf5d3 completed April 20, 2026, 8:29 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05e67868a481909f419d68c2e5f6bb completed May 14, 2026, 3:12 p.m.
NEDg Description generation batch_6a05e74c4a248190b4e02f0c0d53f904 completed May 14, 2026, 3:16 p.m.
NED2 Entity disambiguation (via description) batch_6a05e84cbbac8190aa3e935e67cac797 completed May 14, 2026, 3:20 p.m.
Created at: April 10, 2026, 12:05 p.m.