Triple
T6874801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neutral Bay |
E158645
|
entity |
| Predicate | harbourAspect |
P73869
|
FINISHED |
| Object | north shore of Sydney Harbour |
—
|
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: north shore of Sydney Harbour | Statement: [Neutral Bay, harbourAspect, north shore of Sydney Harbour]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: harbourAspect Context triple: [Neutral Bay, harbourAspect, north shore of Sydney Harbour]
-
A.
harbor
Indicates providing shelter, protection, or refuge for someone or something, often by keeping them in a safe or hidden place.
-
B.
harbourUse
Indicates how a harbour is used or purposed, such as for specific activities, functions, or types of maritime operations.
-
C.
harborType
Indicates the specific kind or classification of a harbor associated with an entity.
-
D.
harbourAlsoKnownAs
Indicates that a harbour is referred to by an alternative name or alias.
-
E.
hasHarbor
Indicates that a place possesses or contains a harbor for docking or sheltering vessels.
- 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_69c68832af1481908ce356e133ebaebe |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d8c9e7b481909079b0f1fb1bc217 |
completed | March 27, 2026, 7:21 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b363dc8190a7225b540ab2bc40 |
completed | March 27, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69c6d8c48ba48190b8d3aa7b8d22816b |
completed | March 27, 2026, 7:21 p.m. |
Created at: March 27, 2026, 2:22 p.m.