Triple

T10044107
Position Surface form Disambiguated ID Type / Status
Subject Cisadane River E205367 entity
Predicate hasFloodRiskFor P12640 FINISHED
Object Tangerang E185381 NE FINISHED

How this triple was built (3 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: Tangerang | Statement: [Cisadane River, hasFloodRiskFor, Tangerang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tangerang
Context triple: [Cisadane River, hasFloodRiskFor, Tangerang]
  • A. Tangerang chosen
    Tangerang is a major urban and industrial city in Indonesia located just west of Jakarta on the island of Java.
  • B. Cilegon
    Cilegon is an industrial port city in western Java, Indonesia, known for its steel industry and strategic location near the Sunda Strait.
  • C. Serang
    Serang is the capital city of Banten Province on the western tip of Java, Indonesia, serving as an important regional administrative and economic center.
  • D. Tangerang Regency
    Tangerang Regency is an administrative region in Banten Province, Indonesia, known for its rapidly growing urban and industrial areas on the western outskirts of Jakarta.
  • E. South Tangerang
    South Tangerang is a rapidly developing satellite city in Indonesia’s Banten province, known as a residential and commercial hub within the Jakarta metropolitan area.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasFloodRiskFor
Context triple: [Cisadane River, hasFloodRiskFor, Tangerang]
  • A. hasFloodRisk chosen
    Indicates that an entity is exposed to a potential or expected risk of flooding under certain conditions.
  • B. hasFloodplain
    Indicates that an area or location lies within the floodplain associated with a particular water body or flooding source.
  • C. hasSeasonalFlooding
    Indicates that an area regularly experiences flooding during specific, recurring times of the year.
  • D. hasFloodplains
    Indicates that an area or region includes land that is subject to flooding, typically adjacent to a river or water body.
  • E. floodStage
    Indicates that a water body’s level has reached or exceeded the defined height at which flooding is expected to begin or become hazardous.
  • F. None of above.

Provenance (4 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_69ca834f70e88190b2d74828b7767ec1 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcf61b3e08190b69bcf67b6a95342 completed April 2, 2026, 2:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e559a1608190903e9b2dff12bb00 completed April 5, 2026, 10:42 p.m.
PD Predicate disambiguation batch_69cd4b8d2280819089de27e57babd1f3 completed April 1, 2026, 4:45 p.m.
Created at: March 30, 2026, 8:55 p.m.