Triple
T4722595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geelong |
E104803
|
entity |
| Predicate | portRankInVictoria |
P20612
|
FINISHED |
| Object | one of the largest commercial ports in Victoria |
—
|
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: one of the largest commercial ports in Victoria | Statement: [Geelong, portRankInVictoria, one of the largest commercial ports in Victoria]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portRankInVictoria Context triple: [Geelong, portRankInVictoria, one of the largest commercial ports in Victoria]
-
A.
portRank
chosen
Indicates the relative importance or hierarchical ranking assigned to a port within a given system or context.
-
B.
populationRankInQueensland
Indicates the relative position of an entity in terms of population size compared to other entities within Queensland.
-
C.
populationRankInNSW
Indicates the relative position of an entity in terms of population size compared to other entities within New South Wales (NSW).
-
D.
NelsonRank
Indicates a ranking or ordered position assigned according to the Nelson ranking system or criteria.
-
E.
populationRankInVietnam
Indicates the relative position of an entity in terms of population size compared to other entities within Vietnam.
- F. None of above.
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_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. |
Created at: March 20, 2026, 1:18 p.m.