Triple
T3541118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gundungurra people |
E74885
|
entity |
| Predicate | ongoingIssue |
P13650
|
FINISHED |
| Object | land rights and cultural heritage protection in the Blue Mountains region |
—
|
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: land rights and cultural heritage protection in the Blue Mountains region | Statement: [Gundungurra people, ongoingIssue, land rights and cultural heritage protection in the Blue Mountains region]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ongoingIssue Context triple: [Gundungurra people, ongoingIssue, land rights and cultural heritage protection in the Blue Mountains region]
-
A.
involvesIssue
Indicates that an action, event, or entity is related to, concerns, or includes a particular issue.
-
B.
facingIssue
chosen
Indicates that an entity is currently experiencing, encountering, or dealing with a problem, difficulty, or obstacle.
-
C.
underlyingIssue
Indicates that one situation, problem, or condition is the fundamental cause or root problem behind another.
-
D.
modernIssue
Indicates that the subject is a contemporary or current-day issue affecting the object or broader context.
-
E.
knownIssue
Indicates that the subject has an issue or problem that is already identified, recognized, or documented.
- 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_69ad85d274cc8190ab59c97298a1cfbf |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbf729000819086e4fdba9e73e198 |
completed | March 8, 2026, 6:26 p.m. |
| PD | Predicate disambiguation | batch_69adae15749881909b847c6ca73c934e |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:20 p.m.