Triple
T653681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nagoya |
E11598
|
entity |
| Predicate | Port of NagoyaIs |
P16962
|
FINISHED |
| Object | one of Japan’s largest trading ports |
—
|
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: one of Japan’s largest trading ports | Statement: [Nagoya, Port of NagoyaIs, one of Japan’s largest trading ports]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Port of NagoyaIs Context triple: [Nagoya, Port of NagoyaIs, one of Japan’s largest trading ports]
-
A.
hasPortCity
Indicates that a place or region possesses or is associated with a city that functions as its port.
-
B.
isPortOfCallFor
Indicates that a location serves as a scheduled stop or destination for a ship, vehicle, or journey.
-
C.
isPortCityOn
Indicates that a city functions as a port located on the specified body of water.
-
D.
hasFerryPort
Indicates that a place serves as a location where ferries regularly dock to load and unload passengers or cargo.
-
E.
prefectureCapital
Indicates that a city serves as the administrative capital of a given prefecture.
- F. None of above. chosen
Provenance (4 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_69a4932862a0819098be659c814e4981 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49f4a660c8190b887cb4da01ef7ae |
completed | March 1, 2026, 8:19 p.m. |
| PD | Predicate disambiguation | batch_69a49d1001088190aa7ca3c8f2ad0e32 |
completed | March 1, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69a49dc0e6a08190b81d82a6f2571c41 |
completed | March 1, 2026, 8:12 p.m. |
Created at: March 1, 2026, 7:36 p.m.