Triple

T31787839
Position Surface form Disambiguated ID Type / Status
Subject Large Millimeter Telescope Alfonso Serrano E811379 entity
Predicate namedAfter P63 FINISHED
Object Alfonso Serrano
Alfonso Serrano was a Mexican astronomer after whom the Large Millimeter Telescope in Mexico is named, recognizing his significant contributions to astronomy in the country.
E2155177 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: Alfonso Serrano | Statement: [Large Millimeter Telescope Alfonso Serrano, namedAfter, Alfonso Serrano]
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: Alfonso Serrano
Triple: [Large Millimeter Telescope Alfonso Serrano, namedAfter, Alfonso Serrano]
Generated description
Alfonso Serrano was a Mexican astronomer after whom the Large Millimeter Telescope in Mexico is named, recognizing his significant contributions to astronomy in the country.

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_69f348e60748819082dcaa7792659803 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6ac16ae288190912a7c82fef90dac completed May 3, 2026, 1:59 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3885ce0324819098637757f4341951 completed June 22, 2026, 12:46 a.m.
NEDg Description generation batch_6a3889aab4208190aae74bda3f9845e1 completed June 22, 2026, 1:02 a.m.
NED2 Entity disambiguation (via description) batch_6a388a2a11848190ad9dfe71938b9771 completed June 22, 2026, 1:04 a.m.
Created at: April 30, 2026, 11:38 p.m.