Triple

T13477719
Position Surface form Disambiguated ID Type / Status
Subject Port of Mariveles E318290 entity
Predicate connectsTo P845 FINISHED
Object Port of Manila E251500 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 Manila | Statement: [Port of Mariveles, connectsTo, Port of Manila]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of Manila
Context triple: [Port of Mariveles, connectsTo, Port of Manila]
  • A. Port of Manila chosen
    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.
  • B. Port of Cebu
    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.
  • C. Cavite City Port
    Cavite City Port is a coastal seaport in Cavite City, Philippines, serving as a local hub for maritime transport, fishing, and trade in Manila Bay.
  • D. Port of Davao
    The Port of Davao is one of the Philippines’ busiest and most important seaports, serving as a key gateway for trade and commerce in the southern island of Mindanao.
  • E. 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.
  • 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_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf266c508190930d30776c09ce35 completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f746318490819095a5697cc396eb6f completed May 3, 2026, 12:57 p.m.
Created at: April 9, 2026, 9:42 p.m.