Triple

T6038532
Position Surface form Disambiguated ID Type / Status
Subject Shenzhen River E134481 entity
Predicate hasNearbyBay P62723 FINISHED
Object Shenzhen Bay E452914 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: Shenzhen Bay | Statement: [Shenzhen River, hasNearbyBay, Shenzhen Bay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shenzhen Bay
Context triple: [Shenzhen River, hasNearbyBay, Shenzhen Bay]
  • A. Shenzhen Bay chosen
    Shenzhen Bay is a coastal body of water between Shenzhen in mainland China and Hong Kong, known for its cross-border bay area, bridges, and waterfront urban development.
  • B. Dapeng Bay
    Dapeng Bay is a coastal lagoon and scenic area in southern Taiwan known for its wetlands, marine ecology, and recreational waterfront activities.
  • C. Dapeng Bay
    Dapeng Bay is a coastal bay in southeastern Shenzhen, China, known for its scenic shoreline, maritime activities, and role as a natural harbor near the Dapeng Peninsula.
  • D. Nanhai
    Nanhai is an alternative name for Nanhai Lake, a notable body of water often associated with scenic and cultural significance in its region.
  • E. Shenzhen Bay Port
    Shenzhen Bay Port is a major land-border crossing and transportation hub linking Shenzhen in mainland China with Hong Kong, facilitating significant passenger and cargo movement between the two regions.
  • 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_69c00875db5c819099dd5bb833ec43c2 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056ccac948190a27547878d4db8e4 completed March 22, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1251a3bec81909a654976712f147d completed March 23, 2026, 11:33 a.m.
Created at: March 22, 2026, 4:08 p.m.