Triple
T14545608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Commonwealth land managers |
E341283
|
entity |
| Predicate | typeOfLandManaged |
P38195
|
FINISHED |
| Object | defence land |
—
|
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: defence land | Statement: [Commonwealth land managers, typeOfLandManaged, defence land]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfLandManaged Context triple: [Commonwealth land managers, typeOfLandManaged, defence land]
-
A.
hasLandholdingsIn
Indicates that an entity owns or controls land or property located within a specified geographic area.
-
B.
acquiredLandArea
Indicates the total area of land that has been obtained or taken possession of through an acquisition.
-
C.
majorLandUse
chosen
Indicates the primary way a given area of land is utilized or designated (e.g., residential, commercial, agricultural).
-
D.
hasNumberOfAcres
Indicates the specific quantity of land area, measured in acres, that is associated with an entity.
-
E.
grantedLandArea
Indicates that a specific area of land has been formally allocated or given by one party to another.
- 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb1bfc2b48190adb0897682c26a9a |
completed | April 14, 2026, 9:29 p.m. |
| PD | Predicate disambiguation | batch_69de5c546c7081909e27d504ec360c5c |
completed | April 14, 2026, 3:25 p.m. |
Created at: April 10, 2026, 1:22 a.m.