Triple

T8690045
Position Surface form Disambiguated ID Type / Status
Subject Lumut E206262 entity
Predicate hasLandmark P105 FINISHED
Object Lumut Jetty E203769 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: Lumut Jetty | Statement: [Lumut, hasLandmark, Lumut Jetty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lumut Jetty
Context triple: [Lumut, hasLandmark, Lumut Jetty]
  • A. Kuah Jetty
    Kuah Jetty is the main ferry terminal and gateway for passengers traveling to and from Malaysia’s Langkawi archipelago.
  • B. Wandoor Jetty
    Wandoor Jetty is a coastal embarkation point in the Andaman Islands that serves as the main gateway for boat trips to nearby marine attractions such as Jolly Buoy Island.
  • C. Lumut Port chosen
    Lumut Port is a key maritime and industrial port facility located on the west coast of Perak, Malaysia, serving as an important hub for cargo handling and regional trade.
  • D. Port of Tanjung Perak
    The Port of Tanjung Perak is a major seaport in Surabaya, Indonesia, serving as one of the country’s busiest maritime gateways for cargo and passenger traffic in East Java.
  • E. Port of Semayang
    The Port of Semayang is a major seaport serving the city of Balikpapan in East Kalimantan, Indonesia, functioning as an important hub for regional passenger and cargo transport.
  • 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_69ca835481fc819084e33d3bc883bfa6 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5734602c81909a0687e00f4a4a26 completed March 31, 2026, 11:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef3df73b88190b67138ee5129de8b completed April 2, 2026, 10:55 p.m.
Created at: March 30, 2026, 6:33 p.m.