Triple

T26700189
Position Surface form Disambiguated ID Type / Status
Subject San Luis Rey River E673131 entity
Predicate hasEstuary P4359 FINISHED
Object San Luis Rey River estuary
The San Luis Rey River estuary is a coastal wetland at the river’s mouth in northern San Diego County, California, providing important habitat for wildlife and serving as a natural buffer between land and sea.
 E1736980 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: San Luis Rey River estuary | Statement: [San Luis Rey River, hasEstuary, San Luis Rey River estuary]
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: San Luis Rey River estuary
Triple: [San Luis Rey River, hasEstuary, San Luis Rey River estuary]
Generated description
The San Luis Rey River estuary is a coastal wetland at the river’s mouth in northern San Diego County, California, providing important habitat for wildlife and serving as a natural buffer between land and sea.

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_69eecda2b49c8190a6c481cfc4c07954 completed April 27, 2026, 2:44 a.m.
NER Named-entity recognition batch_69f6177ef08481908130a8cc2ec33fb2 completed May 2, 2026, 3:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11fe84649481909fb7c264323dfb9a completed May 23, 2026, 7:22 p.m.
NEDg Description generation batch_6a11ff162d588190a1f98429d7fe5154 completed May 23, 2026, 7:25 p.m.
NED2 Entity disambiguation (via description) batch_6a11ff99fdbc81909fd5646fb32987a2 completed May 23, 2026, 7:27 p.m.
Created at: April 27, 2026, 3:31 a.m.