Triple
T37009168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shire of Upper Gascoyne |
E915892
|
entity |
| Predicate | hasVeryLow |
P13885
|
FINISHED |
| Object | population density |
—
|
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: population density | Statement: [Shire of Upper Gascoyne, hasVeryLow, population density]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVeryLow Context triple: [Shire of Upper Gascoyne, hasVeryLow, population density]
-
A.
hasLow
chosen
Indicates that an entity possesses a value, level, or amount of something that is below a defined or expected threshold.
-
B.
hasLowForm
Indicates that an entity possesses a lower or less developed form, version, or level of something relative to a standard or comparison.
-
C.
hasLowMass
Indicates that the subject possesses a relatively small amount of mass compared to a given standard or reference.
-
D.
hasLowDensity
Indicates that the subject possesses a density value that is below a defined or typical threshold.
-
E.
hasHigh
Indicates that an entity possesses a high level, degree, or intensity of a specified attribute or property.
- 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_69f76e90ed548190b187d2475f5c807d |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb154c0fe08190a2e41e7a29b6055f |
completed | May 6, 2026, 10:17 a.m. |
| PD | Predicate disambiguation | batch_69f9fecc005c8190be082a8689193745 |
completed | May 5, 2026, 2:29 p.m. |
Created at: May 3, 2026, 4:14 p.m.