Triple

T29979974
Position Surface form Disambiguated ID Type / Status
Subject Rio Hondo (New Mexico) E761557 entity
Predicate drainageBasin P1559 FINISHED
Object Pecos River basin
The Pecos River basin is a major watershed in the American Southwest that drains portions of New Mexico and Texas before joining the Rio Grande.
E1897851 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: Pecos River basin | Statement: [Rio Hondo (New Mexico), drainageBasin, Pecos River basin]
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: Pecos River basin
Triple: [Rio Hondo (New Mexico), drainageBasin, Pecos River basin]
Generated description
The Pecos River basin is a major watershed in the American Southwest that drains portions of New Mexico and Texas before joining the Rio Grande.

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_69f2246851148190b8e76206db94b105 completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f678d81bd48190af7ad4386626396b completed May 2, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2732210d948190834d178d1a65520a completed June 8, 2026, 9:20 p.m.
NEDg Description generation batch_6a273412bb148190b807e5f7054478e3 completed June 8, 2026, 9:28 p.m.
NED2 Entity disambiguation (via description) batch_6a2734afdee081908b9e8400be7766da completed June 8, 2026, 9:31 p.m.
Created at: April 29, 2026, 6:34 p.m.