Triple

T34549622
Position Surface form Disambiguated ID Type / Status
Subject Ayuntamiento de Santander E887025 entity
Predicate headOfGovernment P307 FINISHED
Object Alcalde de Santander
El Alcalde de Santander es la máxima autoridad política y administrativa del municipio de Santander, encargado de dirigir el gobierno local y representar institucionalmente a la ciudad.
E2101316 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: Alcalde de Santander | Statement: [Ayuntamiento de Santander, headOfGovernment, Alcalde de Santander]
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: Alcalde de Santander
Triple: [Ayuntamiento de Santander, headOfGovernment, Alcalde de Santander]
Generated description
El Alcalde de Santander es la máxima autoridad política y administrativa del municipio de Santander, encargado de dirigir el gobierno local y representar institucionalmente a la ciudad.

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_69f349cff89081908f91e0b064f4833e completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f72024a3348190b5e21ba600e64bb4 completed May 3, 2026, 10:15 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3729f7395c8190824c42c8b7f8972c completed June 21, 2026, 12:01 a.m.
NEDg Description generation batch_6a372a9fffa481909279c5fd09903e91 completed June 21, 2026, 12:04 a.m.
NED2 Entity disambiguation (via description) batch_6a372b3eb16c8190bd4546837763231c completed June 21, 2026, 12:07 a.m.
Created at: May 1, 2026, 2:02 a.m.