Triple

T31343270
Position Surface form Disambiguated ID Type / Status
Subject TRAM de Castellón E799367 entity
Predicate serves P98 FINISHED
Object Castellón metropolitan area
The Castellón metropolitan area is an urban agglomeration in the province of Castellón, Spain, centered on the city of Castellón de la Plana and its surrounding municipalities.
 E1968685 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: Castellón metropolitan area | Statement: [TRAM de Castellón, serves, Castellón metropolitan area]
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: Castellón metropolitan area
Triple: [TRAM de Castellón, serves, Castellón metropolitan area]
Generated description
The Castellón metropolitan area is an urban agglomeration in the province of Castellón, Spain, centered on the city of Castellón de la Plana and its surrounding municipalities.

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_69f224e51614819083141459a080e97c completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f69f15d4f8819098892ed7905af38c completed May 3, 2026, 1:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2b561bae98819096053ff5dfd0cf63 completed June 12, 2026, 12:43 a.m.
NEDg Description generation batch_6a2b582d76f48190a79f766548d7292e completed June 12, 2026, 12:51 a.m.
NED2 Entity disambiguation (via description) batch_6a2b58de3f5c819098fdc0a6922670a1 completed June 12, 2026, 12:54 a.m.
Created at: April 29, 2026, 9:17 p.m.