Triple
T34839239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suttontown |
E1004288
|
entity |
| Predicate | hasCouncilSeatNearby |
P92518
|
FINISHED |
| Object | Mount Gambier |
E305140
|
NE 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: Mount Gambier | Statement: [Suttontown, hasCouncilSeatNearby, Mount Gambier]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCouncilSeatNearby Context triple: [Suttontown, hasCouncilSeatNearby, Mount Gambier]
-
A.
hasCouncilSeat
Indicates that an entity holds a position or seat on a governing council.
-
B.
hasRegencySeatNearby
Indicates that an entity has a regency seat located in close geographical proximity to it.
-
C.
hasMunicipalitySeatNearby
chosen
Indicates that the municipality’s administrative seat is located in close proximity to the referenced place or entity.
-
D.
hasLocalCouncilRepresentation
Indicates that an entity is represented by a local council or has elected representatives serving on a local council.
-
E.
hasCouncilDistrict
Indicates that an entity is located within or represented by a specific council district.
- F. None of above.
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_69f76db97714819099b5bed36fd64e9d |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a384a13f4b8819093d3e4a6cc348bbc |
completed | June 21, 2026, 8:31 p.m. |
| PD | Predicate disambiguation | batch_6a0379ff1ba081908eda86acefcf69fb |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4 p.m.