Triple

T4429418
Position Surface form Disambiguated ID Type / Status
Subject Province of Cebu E95287 entity
Predicate contains P35 FINISHED
Object Port of Cebu E416117 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 of Cebu | Statement: [Province of Cebu, contains, Port of Cebu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of Cebu
Context triple: [Province of Cebu, contains, Port of Cebu]
  • A. Port of Cebu chosen
    The Port of Cebu is a major maritime gateway and commercial hub in the central Philippines, serving as a key center for cargo and passenger traffic in the Visayas region.
  • B. Port of Manila
    The Port of Manila is the Philippines’ largest and busiest seaport, serving as the primary international gateway for the country’s maritime trade and cargo traffic.
  • C. Port of Batangas
    The Port of Batangas is a major seaport in the Philippines serving as a key hub for passenger ferries, cargo shipping, and roll-on/roll-off (RoRo) operations in southern Luzon.
  • D. Port of Mariveles
    The Port of Mariveles is a key maritime gateway and commercial harbor located in Mariveles, serving as one of the primary ports in the province of Bataan in the Philippines.
  • E. Port of Pantoloan
    The Port of Pantoloan is a key maritime gateway and cargo hub serving the city of Palu and the surrounding region in Central Sulawesi, Indonesia.
  • 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_69b3453c2a0c8190926b574c90766db9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35568767c819084d5e18b56a4745e completed March 13, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6136caa248190a84423cede1908c3 completed March 15, 2026, 2:03 a.m.
Created at: March 12, 2026, 11:30 p.m.