Triple
T855943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Auckland |
E18491
|
entity |
| Predicate | hasPort |
P35
|
FINISHED |
| Object | Ports of Auckland |
E91155
|
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: Ports of Auckland | Statement: [Auckland, hasPort, Ports of Auckland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ports of Auckland Context triple: [Auckland, hasPort, Ports of Auckland]
-
A.
Port of Auckland
chosen
Port of Auckland is New Zealand’s largest and busiest seaport, serving as a key hub for the country’s international trade and shipping on the North Island.
-
B.
Port of Wellington
The Port of Wellington is a major seaport in New Zealand’s capital city, serving as a key hub for domestic and international shipping, ferry services, and regional trade.
-
C.
Port of Tauranga
Port of Tauranga is New Zealand’s largest and busiest port, serving as a key international gateway for container and bulk cargo trade.
-
D.
Auckland
Auckland is a major New Zealand metropolis known for its harbors, multicultural population, and role as the country’s primary economic and transport hub.
-
E.
Port of Lautoka
The Port of Lautoka is one of Fiji's main deep-water commercial harbors, serving as a key hub for the country's sugar and general cargo exports in the western part of Viti Levu.
- 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_69a4938bdd3c8190a954a3c11844d9cf |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac3c172481908ed164ee1579ec28 |
completed | March 1, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7b8494840819091324bf603ff8d7c |
completed | March 4, 2026, 4:42 a.m. |
Created at: March 1, 2026, 7:39 p.m.