Triple
T4722593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geelong |
E104803
|
entity |
| Predicate | populationRankInVictoria |
P59028
|
FINISHED |
| Object | second largest city after Melbourne |
—
|
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 city after Melbourne | Statement: [Geelong, populationRankInVictoria, second largest city after Melbourne]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationRankInVictoria Context triple: [Geelong, populationRankInVictoria, second largest city after Melbourne]
-
A.
populationRankInNSW
Indicates the relative position of an entity in terms of population size compared to other entities within New South Wales (NSW).
-
B.
populationRankInQueensland
Indicates the relative position of an entity in terms of population size compared to other entities within Queensland.
-
C.
hasPopulationRankInTasmania
Indicates the relative position of an entity in the ordered list of population sizes within Tasmania.
-
D.
populationRankInVirginia
Indicates the relative position of an entity in terms of population size compared to other entities within Virginia.
-
E.
populationRankInVietnam
Indicates the relative position of an entity in terms of population size compared to other entities within Vietnam.
- 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_69bd43ed84648190ae0b7ee8e8d00482 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd67c9c3c08190a6c4944cdd1362a8 |
completed | March 20, 2026, 3:29 p.m. |
| PD | Predicate disambiguation | batch_69bd6220071881909670c89d072ffb6d |
completed | March 20, 2026, 3:05 p.m. |
| PDg | Predicate description generation | batch_69bd67c895dc8190ba648002ff54424b |
completed | March 20, 2026, 3:29 p.m. |
Created at: March 20, 2026, 1:18 p.m.