Triple

T36842927
Position Surface form Disambiguated ID Type / Status
Subject Abraham Zabludovsky E910456 entity
Predicate awardReceived P11 FINISHED
Object National Architecture Prize of Mexico
The National Architecture Prize of Mexico is a prestigious national honor recognizing outstanding contributions and lifetime achievement in Mexican architecture.
E2200822 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: National Architecture Prize of Mexico | Statement: [Abraham Zabludovsky, awardReceived, National Architecture Prize of Mexico]
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: National Architecture Prize of Mexico
Triple: [Abraham Zabludovsky, awardReceived, National Architecture Prize of Mexico]
Generated description
The National Architecture Prize of Mexico is a prestigious national honor recognizing outstanding contributions and lifetime achievement in Mexican architecture.

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_69f76e7f65a881908651b702da592b6d completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f7cfa58bb481908bcf747c84529987 completed May 3, 2026, 10:43 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3dde7618288190adf546dcb574e546 completed June 26, 2026, 2:05 a.m.
NEDg Description generation batch_6a3ddfa2cb38819098e1c28d04e41869 completed June 26, 2026, 2:10 a.m.
NED2 Entity disambiguation (via description) batch_6a3ded402a208190bc62ab75f129175c completed June 26, 2026, 3:08 a.m.
Created at: May 3, 2026, 4:13 p.m.