Triple

T27468661
Position Surface form Disambiguated ID Type / Status
Subject Jade River estuary E693247 entity
Predicate mouthOfWatercourse P3817 FINISHED
Object Jade River
The Jade River is a watercourse that flows into the Jade River estuary, a coastal area where its freshwater mixes with the sea.
 E2294257 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: Jade River | Statement: [Jade River estuary, mouthOfWatercourse, Jade River]
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: Jade River
Triple: [Jade River estuary, mouthOfWatercourse, Jade River]
Generated description
The Jade River is a watercourse that flows into the Jade River estuary, a coastal area where its freshwater mixes with the 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_69ef538105548190a771cc5a0cf8c211 completed April 27, 2026, 12:16 p.m.
NER Named-entity recognition batch_69f62dff9b3881908db626f491ad11ed completed May 2, 2026, 5:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a7bc4cb63e08190b19c07316cd5f453 completed Aug. 12, 2026, 12:56 a.m.
NEDg Description generation batch_6a7bc544698881909292cb85a6d07fa9 completed Aug. 12, 2026, 12:58 a.m.
NED2 Entity disambiguation (via description) batch_6a7bc5a348408190a3286d7c58ccbf51 completed Aug. 12, 2026, 1 a.m.
Created at: April 27, 2026, 12:53 p.m.