Triple

T3620002
Position Surface form Disambiguated ID Type / Status
Subject Ṭarābulus E76699 entity
Predicate isSeaport P33212 FINISHED
Object true 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: true | Statement: [Ṭarābulus, isSeaport, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isSeaport
Context triple: [Ṭarābulus, isSeaport, true]
  • A. hasSeaportStatus chosen
    Indicates that an entity possesses the status or designation of being a seaport or having seaport facilities.
  • B. isCommercialPort
    Indicates that a location functions as a port used for commercial or trade-related maritime activities.
  • C. isInlandPort
    Indicates that a port facility is located inland, away from the open sea, typically on a river, canal, or lake, while still serving maritime or shipping functions.
  • D. isBusiestSeaportIn
    Indicates that a seaport handles the highest volume of traffic or activity compared to all other seaports within a specified region or area.
  • E. isDeepWaterPort
    Indicates that a port has sufficiently deep water to accommodate large, heavily loaded vessels without grounding.
  • 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_69ad85dae2fc81908d1ceadbc6af0089 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc2b85f6c819091000e231d9dac87 completed March 8, 2026, 6:40 p.m.
PD Predicate disambiguation batch_69adb83f1e4c8190ab501c1c05b14c08 completed March 8, 2026, 5:56 p.m.
Created at: March 8, 2026, 3:23 p.m.