Triple

T5533377
Position Surface form Disambiguated ID Type / Status
Subject Generalife E145101 entity
Predicate near P350 FINISHED
Object Darro River E279227 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: Darro River | Statement: [Generalife, near, Darro River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Darro River
Context triple: [Generalife, near, Darro River]
  • A. Darro River chosen
    The Darro River is a small Andalusian river that flows through the historic center of Granada, Spain, running alongside the Alhambra and contributing to the city's distinctive landscape.
  • B. Gavaraget River
    The Gavaraget River is a watercourse in Armenia that serves as one of the tributaries feeding into Lake Sevan.
  • C. Túr River
    The Túr River is a watercourse in Eastern Europe that flows through parts of Romania and Hungary before joining the Tisa River.
  • D. Calavon River
    The Calavon River is a watercourse in southeastern France that flows through the Luberon region of Provence before joining the Durance River.
  • E. Esaro River
    The Esaro River is a watercourse in the Calabria region of southern Italy, known for flowing through the province of Crotone before reaching the Ionian Sea.
  • 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_69c008f9955881909bfa8348b56b4739 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f9ea2c88190a68642f5799bd8ff completed March 22, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c827415f248190aa80f425c8ac3a99 completed March 28, 2026, 7:08 p.m.
Created at: March 22, 2026, 3:34 p.m.