Triple

T10929582
Position Surface form Disambiguated ID Type / Status
Subject Lake Colden E258164 entity
Predicate outflow P967 FINISHED
Object Opalescent River E42166 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: Opalescent River | Statement: [Lake Colden, outflow, Opalescent River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Opalescent River
Context triple: [Lake Colden, outflow, Opalescent River]
  • A. Opalescent River chosen
    The Opalescent River is a scenic mountain river in New York’s Adirondack High Peaks region, known as one of the headwater streams contributing to the Hudson River.
  • B. Nyari River
    The Nyari River is a regional river in the Indian state of Gujarat that flows through and helps sustain the city of Rajkot.
  • C. Cremera River
    The Cremera River is a small river in central Italy historically known as the site of battles between the ancient Etruscan city of Veii and early Rome.
  • D. Crepori River
    The Crepori River is a waterway in northern Brazil that forms part of the Amazon Basin, flowing through the state of Pará before joining the Tapajós River.
  • E. Leona River
    The Leona River is a tributary in south-central Texas that flows through several counties, including Uvalde County, before joining the Frio River.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7709eb0ec819093f7d3f99097bbe4 completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1330527481908d518093debc9ad1 completed May 9, 2026, 10:57 a.m.
Created at: April 8, 2026, 9:22 p.m.