Triple
T15388948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eden‑Monaro |
E367986
|
entity |
| Predicate | hasInlandAreas |
P101966
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Eden‑Monaro, hasInlandAreas, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInlandAreas Context triple: [Eden‑Monaro, hasInlandAreas, yes]
-
A.
hasInlandArea
chosen
Indicates that an entity possesses a portion of its territory or surface that is located away from coastal or shoreline areas.
-
B.
hasAdjacentMainlandArea
Indicates that one geographic area directly borders or touches a contiguous mainland region.
-
C.
hasInlandCity
Indicates that one entity has, contains, or is associated with a city located inland (away from the coast or major bodies of water).
-
D.
hasNumberOfInhabitedIslands
Indicates the relationship that specifies how many islands within a given area or jurisdiction are inhabited.
-
E.
isInlandFrom
Indicates that one place lies away from the coast, further toward the interior of the land, relative to another place.
- 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_69d85a1551a08190ba2caea7cd51c639 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e761b688190893a81246b735b76 |
completed | April 16, 2026, 1:42 a.m. |
| PD | Predicate disambiguation | batch_69ded27742a881909cd73cc5c7d062fd |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:19 a.m.