Triple

T3935329
Position Surface form Disambiguated ID Type / Status
Subject Yeppoon E90895 entity
Predicate electoralDistrictState P19338 FINISHED
Object Keppel E77523 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: Keppel | Statement: [Yeppoon, electoralDistrictState, Keppel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Keppel
Context triple: [Yeppoon, electoralDistrictState, Keppel]
  • A. Keppel chosen
    Keppel is an electoral district in the Queensland Legislative Assembly, covering areas around Rockhampton on the central coast of Australia.
  • B. Keppel
    Keppel is a British noble family name historically associated with the Earls of Albemarle and other prominent figures in the United Kingdom’s aristocracy.
  • C. Labuan Corporation
    Labuan Corporation is the local governing authority responsible for administering and managing public services and development on the Malaysian federal territory of Labuan.
  • D. KLCC Holdings
    KLCC Holdings is a Malaysian property development and investment company best known for developing and managing the landmark Petronas Towers and the surrounding Kuala Lumpur City Centre complex.
  • E. Hang Lung Group
    Hang Lung Group is a Hong Kong-based property investment and development company known for owning and managing major commercial real estate projects in Hong Kong and mainland China.
  • 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_69aed95f26e0819094b0e71974543a19 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeedcd29148190a98e4549c9ed8888 completed March 9, 2026, 3:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5288eb3e481909a68531fd37371a4 completed March 14, 2026, 9:21 a.m.
Created at: March 9, 2026, 3:23 p.m.