Triple

T35732584
Position Surface form Disambiguated ID Type / Status
Subject Salt E1032796 entity
Predicate hasLocalGovernment P2820 FINISHED
Object Ajuntament de Salt
Ajuntament de Salt is the municipal council and administrative body responsible for governing the town of Salt in Catalonia, Spain.
 E2153551 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: Ajuntament de Salt | Statement: [Salt, hasLocalGovernment, Ajuntament de Salt]
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: Ajuntament de Salt
Triple: [Salt, hasLocalGovernment, Ajuntament de Salt]
Generated description
Ajuntament de Salt is the municipal council and administrative body responsible for governing the town of Salt in Catalonia, Spain.

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_69f76e10e59081908d81ad9ce22f40b6 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7a1376dbc8190800bf7864c1e40de completed May 3, 2026, 7:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a387d1f1f7c81909bc8dc4612e411d7 completed June 22, 2026, 12:09 a.m.
NEDg Description generation batch_6a387e0b606c819093d074bde21518d2 completed June 22, 2026, 12:12 a.m.
NED2 Entity disambiguation (via description) batch_6a3880fb52d4819099c2bdba7e7d948f completed June 22, 2026, 12:25 a.m.
Created at: May 3, 2026, 4:05 p.m.