Triple

T8838515
Position Surface form Disambiguated ID Type / Status
Subject Klang E210327 entity
Predicate connectedTo P37 FINISHED
Object Port Klang E198826 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: Port Klang | Statement: [Klang, connectedTo, Port Klang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port Klang
Context triple: [Klang, connectedTo, Port Klang]
  • A. Port Klang chosen
    Port Klang is Malaysia’s largest and busiest seaport, serving as a major maritime gateway on the country’s west coast and a key hub for regional and international trade.
  • B. Port of Penang
    The Port of Penang is a major Malaysian seaport and logistics hub on the Strait of Malacca, serving as a key gateway for trade in the northern region of the country and the wider Asia-Pacific.
  • C. Kota Kinabalu
    Kota Kinabalu is a coastal city in Malaysian Borneo known as the gateway to Mount Kinabalu and the biodiverse rainforests and marine parks of Sabah.
  • D. Johor Bahru
    Johor Bahru is a large, rapidly developing city in southern Peninsular Malaysia, located just across the causeway from Singapore and serving as the capital of Johor state.
  • E. Sungai Petani
    Sungai Petani is a major commercial and residential town in the Malaysian state of Kedah, known as one of its largest and most rapidly developing urban centers.
  • 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_69ca8388549c819095fd94eadefbb007 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc606c60ac8190b2b6bd7f042c02f8 completed April 1, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69d14bb716cc819096a1e02e61db2e69 completed April 4, 2026, 5:34 p.m.
Created at: March 30, 2026, 6:48 p.m.