Triple

T17104335
Position Surface form Disambiguated ID Type / Status
Subject Trans-Sumatran Highway E415058 entity
Predicate connectsCity P4245 FINISHED
Object Banda Aceh E402120 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: Banda Aceh | Statement: [Trans-Sumatran Highway, connectsCity, Banda Aceh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Banda Aceh
Context triple: [Trans-Sumatran Highway, connectsCity, Banda Aceh]
  • A. Banda Aceh chosen
    Banda Aceh is the largest city in Indonesia’s Aceh province, known as a historic center of Islamic culture and for being one of the areas hardest hit by the 2004 Indian Ocean tsunami.
  • B. Sabang
    Sabang is a small Indonesian city and popular tourist destination located on Weh Island off the northern tip of Sumatra.
  • C. Sabang
    Sabang is a barangay (village-level administrative division) located in the municipality of Morong in the province of Bataan, Philippines.
  • D. Sabang
    Sabang is a coastal barangay in Baler, Aurora, Philippines, known for its surfing beaches and tourism.
  • E. Aceh
    Aceh is a special autonomous province at the northern tip of the Indonesian island of Sumatra, known for its distinct Islamic heritage and historical role as a major trading center.
  • 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_69d886cfc8e88190b05ba466edd35591 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dc2591a881909c5f4f7db47f4d6c completed April 18, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a014143edb081909509c5435d392dd0 completed May 11, 2026, 2:39 a.m.
Created at: April 10, 2026, 5:35 a.m.