Triple

T1358114
Position Surface form Disambiguated ID Type / Status
Subject Manila–Acapulco route E29036 entity
Predicate connects P390 FINISHED
Object Acapulco E29649 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: Acapulco | Statement: [Manila–Acapulco route, connects, Acapulco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Acapulco
Context triple: [Manila–Acapulco route, connects, Acapulco]
  • A. Acapulco chosen
    Acapulco is a historic Mexican Pacific coastal city that flourished as a major colonial-era seaport and remains a prominent tourist destination.
  • B. Cancún
    Cancún is a major Mexican resort city on the Caribbean coast, renowned for its beaches, tourism industry, and role as a host for international conferences and summits.
  • C. Punta de Mita
    Punta de Mita is a luxury beach resort area on Mexico’s Pacific coast known for its upscale hotels, surfing, and proximity to the Bay of Banderas and the Marietas Islands.
  • D. Puerto Escondido
    Puerto Escondido is a coastal town and popular surfing and beach tourism destination on Mexico’s Pacific coast in the state of Oaxaca.
  • E. Mazatlán, Mexico
    Mazatlán, Mexico is a Pacific coastal city in the state of Sinaloa known for its long sandy beaches, historic old town, and major seaport and tourism industry.
  • 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_69a498d77abc8190913bf57e5f51d2c4 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c28f5b988190b0be4504eabb919d completed March 1, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad1c95b09881909e621ee55cdc7279 completed March 8, 2026, 6:52 a.m.
Created at: March 1, 2026, 7:56 p.m.