Triple

T6407697
Position Surface form Disambiguated ID Type / Status
Subject Mahakam River E127626 entity
Predicate hasLake P1025 FINISHED
Object Lake Semayang E590579 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: Lake Semayang | Statement: [Mahakam River, hasLake, Lake Semayang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Semayang
Context triple: [Mahakam River, hasLake, Lake Semayang]
  • A. Lake Jempang chosen
    Lake Jempang is a large freshwater lake in East Kalimantan, Indonesia, known as one of the principal lakes in the Mahakam River basin and an important habitat for diverse aquatic and bird species.
  • B. Lake Bandak
    Lake Bandak is a deep, narrow glacial lake in Telemark, Norway, known for its scenic fjord-like landscape and role in the Telemark Canal waterway.
  • C. Lake Poso
    Lake Poso is a deep, tectonic lake in Central Sulawesi, Indonesia, known for its clear waters, unique biodiversity, and scenic surrounding highlands.
  • D. Pantabangan Lake
    Pantabangan Lake is a large man-made reservoir in the Philippines known for irrigation, hydroelectric power generation, and freshwater fishing.
  • E. Handarap Lake
    Handarap Lake is a high-altitude alpine lake in Pakistan’s Gilgit-Baltistan region, known for its clear turquoise waters and dramatic mountain scenery.
  • 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_69c0083723d88190b1e37b19df162c08 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c068ccd804819097b106604372c14a completed March 22, 2026, 10:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c640c141548190b76a21e873c9147d completed March 27, 2026, 8:33 a.m.
Created at: March 22, 2026, 4:41 p.m.