Triple

T24470830
Position Surface form Disambiguated ID Type / Status
Subject Mayo River valley E617093 entity
Predicate administrativeDivision P747 FINISHED
Object Municipality of Huatabampo
The Municipality of Huatabampo is a local government area in southern Sonora, Mexico, known for its agricultural communities and coastal and riverine landscapes near the Gulf of California.
E1636207 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: Municipality of Huatabampo | Statement: [Mayo River valley, administrativeDivision, Municipality of Huatabampo]
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: Municipality of Huatabampo
Triple: [Mayo River valley, administrativeDivision, Municipality of Huatabampo]
Generated description
The Municipality of Huatabampo is a local government area in southern Sonora, Mexico, known for its agricultural communities and coastal and riverine landscapes near the Gulf of California.

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_69e2d7f197588190889a03e620558059 completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f299432b2881909502f9cbc7e4dbb0 completed April 29, 2026, 11:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0fe3922e708190abd9672b0f47bfef completed May 22, 2026, 5:03 a.m.
NEDg Description generation batch_6a0fe6c7cf0c8190a519141e2d729f8a completed May 22, 2026, 5:16 a.m.
NED2 Entity disambiguation (via description) batch_6a0fe76385488190991e3bd99cd9d9e9 completed May 22, 2026, 5:19 a.m.
Created at: April 18, 2026, 2:20 a.m.