Triple

T7739814
Position Surface form Disambiguated ID Type / Status
Subject Drac River E175476 entity
Predicate hasTributary P415 FINISHED
Object Drac Blanc E429940 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: Drac Blanc | Statement: [Drac River, hasTributary, Drac Blanc]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Drac Blanc
Context triple: [Drac River, hasTributary, Drac Blanc]
  • A. Drac chosen
    The Drac is a river in southeastern France that flows through the Alps and is a significant tributary of the Isère.
  • B. Basilisk
    The Basilisk is a gigantic, deadly serpent from the Harry Potter series whose gaze can kill and whose venom is among the most lethal magical substances.
  • C. Maasdriel
    Maasdriel is a municipality in the province of Gelderland in the Netherlands, known for its rural landscape along the river Maas and its collection of small villages.
  • D. Dramaga
    Dramaga is a district in West Java, Indonesia, known for hosting the main campus of Bogor Agricultural University (IPB) and forming part of the greater Bogor area.
  • E. Drago Milenario
    Drago Milenario is an ancient and iconic dragon tree in Tenerife, Spain, renowned as one of the oldest and most emblematic natural monuments of the Canary Islands.
  • 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_69c6995f9c60819092e386192bd63c6f completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7035cddb881908bdfc1bd7d6a64ad completed March 27, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8be4178408190850c284aab895442 completed March 29, 2026, 5:53 a.m.
Created at: March 27, 2026, 4:07 p.m.