Triple

T37993077
Position Surface form Disambiguated ID Type / Status
Subject Government of Tabasco E947869 entity
Predicate hasBranch P35 FINISHED
Object Executive branch of Tabasco
The Executive branch of Tabasco is the state-level authority in Tabasco, Mexico, responsible for implementing laws and administering public policy under the leadership of the governor and associated executive agencies.
E2252107 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: Executive branch of Tabasco | Statement: [Government of Tabasco, hasBranch, Executive branch of Tabasco]
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: Executive branch of Tabasco
Triple: [Government of Tabasco, hasBranch, Executive branch of Tabasco]
Generated description
The Executive branch of Tabasco is the state-level authority in Tabasco, Mexico, responsible for implementing laws and administering public policy under the leadership of the governor and associated executive agencies.

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_69f76efa37088190be5416b7ef1ca275 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fbc91772c481909a054d9f6f2a5fac completed May 6, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a412cbbe6cc81909701ceb1455ada03 completed June 28, 2026, 2:16 p.m.
NEDg Description generation batch_6a41485ed9408190be9b332e9ef1a7ba completed June 28, 2026, 4:14 p.m.
NED2 Entity disambiguation (via description) batch_6a4148e1e0688190b805d526b437c280 completed June 28, 2026, 4:16 p.m.
Created at: May 3, 2026, 4:20 p.m.