Triple

T15148984
Position Surface form Disambiguated ID Type / Status
Subject Sabika hill E361887 entity
Predicate overlooks P1323 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: [Sabika hill, overlooks, Darro River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Darro River
Context triple: [Sabika hill, overlooks, 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. Pediaios River
    Pediaios River is a river in Cyprus that flows through the capital city of Nicosia before reaching the eastern coast.
  • C. Gavaraget River
    The Gavaraget River is a watercourse in Armenia that serves as one of the tributaries feeding into Lake Sevan.
  • D. Túr River
    The Túr River is a watercourse in Eastern Europe that flows through parts of Romania and Hungary before joining the Tisa River.
  • E. Sorraia River
    The Sorraia River is a significant river in central Portugal that flows through agricultural plains before joining the Tagus River system.
  • 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_69d85a0759908190b8a051d2e2a1cbe6 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005c934048190afac78a8023a544a completed April 15, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0139e10e94819092b71606dbe4f5d5 completed May 11, 2026, 2:07 a.m.
Created at: April 10, 2026, 3:07 a.m.