Triple
T9841412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moorabbin, Victoria, Australia |
E239233
|
entity |
| Predicate | regionOfState |
P90283
|
FINISHED |
| Object | south-eastern 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: south-eastern Melbourne | Statement: [Moorabbin, Victoria, Australia, regionOfState, south-eastern Melbourne]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionOfState Context triple: [Moorabbin, Victoria, Australia, regionOfState, south-eastern Melbourne]
-
A.
countyRegion
Indicates that a county is located within, or is administratively part of, a larger geographic region.
-
B.
regionSub
Indicates that one region is a subregion or contained part of another, larger region.
-
C.
regionOfCity
Indicates that a specified area or district is a constituent part or subdivision of a particular city.
-
D.
region1
Indicates that one entity is the first or primary region associated with, containing, or encompassing another entity.
-
E.
inUSStateRegion
Indicates that one entity is located within, or belongs to, a specific region of a U.S. state.
- 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_69ca84e3f0c48190ada72a65ebd50efd |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb34c920c81909b56ed9936b15f9b |
completed | April 2, 2026, 12:07 a.m. |
| PD | Predicate disambiguation | batch_69cd03e57cac8190914bb5ae608a6e0e |
completed | April 1, 2026, 11:39 a.m. |
| PDg | Predicate description generation | batch_69cd06abc9248190a506b64e9c516d03 |
completed | April 1, 2026, 11:51 a.m. |
Created at: March 30, 2026, 8:33 p.m.