Triple
T7430643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princes Park |
E171479
|
entity |
| Predicate | formerPrimaryUse |
P76363
|
FINISHED |
| Object | VFL matches |
—
|
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: VFL matches | Statement: [Princes Park, formerPrimaryUse, VFL matches]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerPrimaryUse Context triple: [Princes Park, formerPrimaryUse, VFL matches]
-
A.
originalPrimaryUse
Indicates that something was first or chiefly intended to be used for a particular purpose or function.
-
B.
laterPrimarilyUsedFor
Indicates that something was initially used for one purpose but, at a later time, came to be used mainly for another specified purpose.
-
C.
usedPrimarilyIn
Indicates that something is mainly or most commonly employed within a particular context, domain, or purpose.
-
D.
primaryLandUse
Indicates the main or dominant way in which a given piece of land is utilized or designated (e.g., residential, agricultural, commercial).
-
E.
terminal1PrimaryUse
Indicates the main or predominant function or purpose for which terminal 1 is used.
- 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_69c68a63491881909281f73d4d5643bf |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f32324c481908c9ba594e8456728 |
completed | March 27, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69c6f038582c8190bac77c9b5a34b862 |
completed | March 27, 2026, 9:01 p.m. |
| PDg | Predicate description generation | batch_69c6f0be2b1c8190bea06100a7caef2b |
completed | March 27, 2026, 9:03 p.m. |
Created at: March 27, 2026, 3:12 p.m.