Triple

T8780154
Position Surface form Disambiguated ID Type / Status
Subject Hat Yai E208703 entity
Predicate connectedTo P37 FINISHED
Object Penang E55976 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: Penang | Statement: [Hat Yai, connectedTo, Penang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Penang
Context triple: [Hat Yai, connectedTo, Penang]
  • A. Penang chosen
    Penang is a Malaysian state and island renowned for its multicultural heritage, historic George Town, and vibrant street food scene.
  • B. 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.
  • C. Kuantan
    Kuantan is a coastal city on the east coast of Peninsular Malaysia known as a major economic and cultural center and gateway to the South China Sea.
  • D. 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.
  • E. Kuala Pilah
    Kuala Pilah is a historic inland town in the Malaysian state of Negeri Sembilan, known for its traditional Minangkabau cultural heritage and role as an administrative and commercial center for the surrounding rural district.
  • 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_69ca835fbee88190bf625939bac48d7f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f548aa48190b2e73f292758e361 completed March 31, 2026, 11:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69d017060fd08190bd053f988bd74048 completed April 3, 2026, 7:37 p.m.
Created at: March 30, 2026, 6:42 p.m.