Triple

T34837880
Position Surface form Disambiguated ID Type / Status
Subject Plaza de la Virgen, Valencia E1004249 entity
Predicate adjacentTo P224 FINISHED
Object Calle del Micalet
Calle del Micalet is a historic street in central Valencia, Spain, known for its proximity to the cathedral area and the iconic Micalet (El Miguelete) bell tower.
E2122647 NE FINISHED

How this triple was built (2 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: Calle del Micalet | Statement: [Plaza de la Virgen, Valencia, adjacentTo, Calle del Micalet]
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: Calle del Micalet
Triple: [Plaza de la Virgen, Valencia, adjacentTo, Calle del Micalet]
Generated description
Calle del Micalet is a historic street in central Valencia, Spain, known for its proximity to the cathedral area and the iconic Micalet (El Miguelete) bell tower.

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_69f76db97714819099b5bed36fd64e9d completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f7810f5bdc8190b3f7c714f17eefce completed May 3, 2026, 5:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a37bcfd8fc08190b6af96046110198d completed June 21, 2026, 10:29 a.m.
NEDg Description generation batch_6a37bda6c4408190a6f09442687dae28 completed June 21, 2026, 10:32 a.m.
NED2 Entity disambiguation (via description) batch_6a37bf374b7081908687f2997935411e completed June 21, 2026, 10:38 a.m.
Created at: May 3, 2026, 4 p.m.