Triple
T6724778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port of Mackay |
E153489
|
entity |
| Predicate | cityServed |
P82
|
FINISHED |
| Object | Mackay |
E28562
|
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: Mackay | Statement: [Port of Mackay, cityServed, Mackay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mackay Context triple: [Port of Mackay, cityServed, Mackay]
-
A.
Mackay
chosen
Mackay is a coastal city in eastern Australia known for its sugar cane industry and proximity to the Great Barrier Reef.
-
B.
Mackay
Mackay is the given name of M. H. Baillie Scott, a prominent British architect and designer associated with the Arts and Crafts movement.
-
C.
Townsville
Townsville is a coastal city in northeastern Australia known as a major regional center, gateway to the Great Barrier Reef, and home to a large military presence and tropical climate.
-
D.
Townsville
Townsville is the fictional, crime-ridden yet colorful city that serves as the primary backdrop for the adventures of The Powerpuff Girls.
-
E.
Strahan
Strahan is a surname most prominently associated with Michael Strahan, the former NFL star and television personality.
- 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_69c6880afb988190ad88011b48ecfcba |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d14fb1a8819083287ca8bb576bba |
completed | March 27, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70afcbe308190909fe8f34ca8e5e2 |
completed | March 27, 2026, 10:55 p.m. |
Created at: March 27, 2026, 2:08 p.m.