Triple
T31795728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East Australian hotspot track |
E811591
|
entity |
| Predicate | youngerTowards |
P172311
|
FINISHED |
| Object | north |
—
|
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: north | Statement: [East Australian hotspot track, youngerTowards, north]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: youngerTowards Context triple: [East Australian hotspot track, youngerTowards, north]
-
A.
youngerNear
Indicates that one entity is younger than another and is located physically close to that other entity.
-
B.
youngAreCalled
Indicates that a term or name is used to refer specifically to the young or offspring of something.
-
C.
isYoung
Indicates that an entity is at an early stage of life or development relative to a relevant norm or comparison group.
-
D.
replacedByForYoungerPeople
Indicates that something has been superseded or substituted by another specifically for use by younger people.
-
E.
youngerSpeakersTrend
Indicates a trend or pattern in which younger speakers increasingly use, adopt, or influence a particular linguistic feature or behavior over time.
- F. None of above. chosen
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_69f348e60748819082dcaa7792659803 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6ac1d488c8190afbf41c0589d2efe |
completed | May 3, 2026, 1:59 a.m. |
| PD | Predicate disambiguation | batch_69f6aa21f2508190a204a424ffc00ca6 |
completed | May 3, 2026, 1:51 a.m. |
| PDg | Predicate description generation | batch_69f6aac95c1481909fff33702d0a6c37 |
completed | May 3, 2026, 1:54 a.m. |
Created at: April 30, 2026, 11:40 p.m.