Triple
T4310196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greater Newcastle area |
E94050
|
entity |
| Predicate | populationRankInNSW |
P56379
|
FINISHED |
| Object | second-largest urban area after Sydney |
—
|
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: second-largest urban area after Sydney | Statement: [Greater Newcastle area, populationRankInNSW, second-largest urban area after Sydney]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationRankInNSW Context triple: [Greater Newcastle area, populationRankInNSW, second-largest urban area after Sydney]
-
A.
populationRankInQueensland
Indicates the relative position of an entity in terms of population size compared to other entities within Queensland.
-
B.
hasPopulationRankInTasmania
Indicates the relative position of an entity in the ordered list of population sizes within Tasmania.
-
C.
capitalCityPopulationRankInAustralia
Indicates the relative population rank of a capital city compared to other capital cities within Australia.
-
D.
roadNumberInNSW
Indicates that a given road has a specific official route or road number within the New South Wales (NSW) road network.
-
E.
areaRank
Indicates the relative ordering or position of an entity based on the size of its area compared to others.
- 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_69b3451886588190a3dd1305ea7c58dc |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b350d55d748190a57fabcf58782dba |
completed | March 12, 2026, 11:48 p.m. |
| PD | Predicate disambiguation | batch_69b34f4a07b08190a06ada0d9cbb14fb |
completed | March 12, 2026, 11:42 p.m. |
| PDg | Predicate description generation | batch_69b35034cd248190bae09e9d090e13ec |
completed | March 12, 2026, 11:45 p.m. |
Created at: March 12, 2026, 11:11 p.m.