Triple

T1089554
Position Surface form Disambiguated ID Type / Status
Subject Smyrna E24129 entity
Predicate hadPortType P16380 FINISHED
Object deep-water harbor 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: deep-water harbor | Statement: [Smyrna, hadPortType, deep-water harbor]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hadPortType
Context triple: [Smyrna, hadPortType, deep-water harbor]
  • A. hasPortType chosen
    Indicates that an entity is associated with, or characterized by, a specific type or category of port.
  • B. hasMajorPort
    Indicates that a location possesses a primary, significant seaport used for major commercial or transportation activities.
  • C. hasPortico
    Indicates that one entity (typically a building or structure) features a portico as part of its architectural design.
  • D. usedOnPort
    Indicates that something is applied, connected, or operates specifically on a given port.
  • E. haveType
    Indicates that an entity belongs to or is classified under a specified type or category.
  • 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_69a49404428c819092dcc9632f5f7b8b completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b97f216881909e9b8943ce2078e4 completed March 1, 2026, 10:11 p.m.
PD Predicate disambiguation batch_69a4b741b0cc8190be001a16a81f6d9e completed March 1, 2026, 10:01 p.m.
Created at: March 1, 2026, 7:42 p.m.