Triple
T15446994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baroona |
E370049
|
entity |
| Predicate | hasLocationArea |
P42732
|
FINISHED |
| Object | Singleton area |
—
|
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: Singleton area | Statement: [Baroona, hasLocationArea, Singleton area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLocationArea Context triple: [Baroona, hasLocationArea, Singleton area]
-
A.
hasAreaNumber
Indicates that an entity is associated with a specific area identified by a numerical code.
-
B.
hasLocationComponent
chosen
Indicates that something includes, is associated with, or is composed of a specific location-related part or element.
-
C.
hasLocationRole
Indicates that an entity holds or plays a specific role in relation to a particular location (e.g., origin, destination, storage site, or operational area).
-
D.
cellularLocation
Indicates the location or compartment within a cell where an entity (such as a molecule or process) is situated or occurs.
-
E.
hasReceiverLocation
Indicates that an entity serves as the destination or location where something is received by another party.
- 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_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ef767b4819099f2c0919a158321 |
completed | April 16, 2026, 1:44 a.m. |
| PD | Predicate disambiguation | batch_69ded28276f481908c2038bb301e57cf |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:21 a.m.