Triple

T25343667
Position Surface form Disambiguated ID Type / Status
Subject Santiago Bridge (Irun) E635482 entity
Predicate namedAfter P63 FINISHED
Object Santiago
Santiago is a city in northwestern Spain that serves as the capital of the autonomous community of Galicia and is renowned as the destination of the historic Camino de Santiago pilgrimage.
E1676388 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: Santiago | Statement: [Santiago Bridge (Irun), namedAfter, Santiago]
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: Santiago
Triple: [Santiago Bridge (Irun), namedAfter, Santiago]
Generated description
Santiago is a city in northwestern Spain that serves as the capital of the autonomous community of Galicia and is renowned as the destination of the historic Camino de Santiago pilgrimage.

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_69e75a99bd6481909476115b35b9a8e4 completed April 21, 2026, 11:08 a.m.
NER Named-entity recognition batch_69f498b936f08190b750199798e9effc completed May 1, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1075bce9ac81909e6c2bf41ea29da6 completed May 22, 2026, 3:26 p.m.
NEDg Description generation batch_6a1076991b208190945d037fd9eef5f2 completed May 22, 2026, 3:30 p.m.
NED2 Entity disambiguation (via description) batch_6a1077bbf9448190bee4351dcb985c0c completed May 22, 2026, 3:35 p.m.
Created at: April 21, 2026, 1:32 p.m.