Triple

T24577248
Position Surface form Disambiguated ID Type / Status
Subject Rally Portugal E608147 entity
Predicate typicalRallyCenter P16368 FINISHED
Object Exponor in Matosinhos
Exponor in Matosinhos is a major exhibition and events center in northern Portugal that often serves as a key hub for Rally de Portugal activities.
 E1641896 NE FINISHED

How this triple was built (3 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: Exponor in Matosinhos | Statement: [Rally Portugal, typicalRallyCenter, Exponor in Matosinhos]
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: Exponor in Matosinhos
Triple: [Rally Portugal, typicalRallyCenter, Exponor in Matosinhos]
Generated description
Exponor in Matosinhos is a major exhibition and events center in northern Portugal that often serves as a key hub for Rally de Portugal activities.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: typicalRallyCenter
Context triple: [Rally Portugal, typicalRallyCenter, Exponor in Matosinhos]
  • A. typicalRallyHQ
    Indicates that a location serves as the usual or standard headquarters where a rally is organized or coordinated.
  • B. relationToWorldRallyChampionship
    Indicates how an entity is connected or related to the World Rally Championship (e.g., by participation, organization, or association).
  • C. mobilizationCentre
    Indicates a location where resources, personnel, or equipment are gathered and organized in preparation for deployment or coordinated action.
  • D. gatheringPlace chosen
    Indicates a location where entities come together or assemble, typically for a shared activity, purpose, or event.
  • E. centralLocation
    Indicates that one entity serves as the primary or central place associated with another entity.
  • F. None of above.

Provenance (6 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_69e2c4cdab6c8190aae6e5d3de55c95e completed April 17, 2026, 11:39 p.m.
NER Named-entity recognition batch_69f2a97be2ac8190aecf5e54a37e266a completed April 30, 2026, 12:59 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ff870efa081909cd33308e13258b9 completed May 22, 2026, 6:32 a.m.
NEDg Description generation batch_6a0ff96d423881908d81db0b6bc78921 completed May 22, 2026, 6:36 a.m.
NED2 Entity disambiguation (via description) batch_6a0ffa8bb5208190b473d834c40e7ef3 completed May 22, 2026, 6:41 a.m.
PD Predicate disambiguation batch_69f2a6c1f07081908edf0b521767e79b completed April 30, 2026, 12:48 a.m.
Created at: April 18, 2026, 2:29 a.m.