Triple

T18202018
Position Surface form Disambiguated ID Type / Status
Subject Philippine Ports Authority E435811 entity
Predicate typeOfPortFacilities P45226 FINISHED
Object public seaports LITERAL 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: public seaports | Statement: [Philippine Ports Authority, typeOfPortFacilities, public seaports]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typeOfPortFacilities
Context triple: [Philippine Ports Authority, typeOfPortFacilities, public seaports]
  • A. typeOfPortFacility chosen
    Indicates that one port facility is classified as a specific type or category of port facility in relation to another.
  • B. permanentPortFacilities
    Indicates that an entity has fixed, long-term port infrastructure used for maritime operations, such as docks, piers, or terminals that are not temporary or mobile.
  • C. berthType
    Indicates the specific kind or category of berth associated with an entity, such as the type of sleeping or docking space provided.
  • D. appliesToTransportFacilityType
    Indicates that something is relevant or applicable specifically to a particular type or category of transport facility.
  • E. nearbyPortFacility
    Indicates that one entity is located close to or in the immediate vicinity of a port facility.
  • F. None of above.

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_69d8b90dba6481908e119eb9aa4ca0cb completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e220dca48190b54dabbd3c7c99b7 completed April 19, 2026, 2:09 p.m.
PD Predicate disambiguation batch_69e4332155d88190b106d0dceb4554af completed April 19, 2026, 1:42 a.m.
Created at: April 10, 2026, 10:32 a.m.