Triple
T12969989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dunghutti people |
E321365
|
entity |
| Predicate | nativeTitleDeterminationYear |
P48870
|
FINISHED |
| Object | 1997 |
—
|
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: 1997 | Statement: [Dunghutti people, nativeTitleDeterminationYear, 1997]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nativeTitleDeterminationYear Context triple: [Dunghutti people, nativeTitleDeterminationYear, 1997]
-
A.
nativeTitleSettlementYear
Indicates the year in which a place or entity received, adopted, or was officially granted its native-language title or designation.
-
B.
hasYearInTitle
Indicates that the title of an entity explicitly contains a year value as part of its text.
-
C.
hasNativeTitleDetermination
chosen
Indicates that an entity has an associated legal or official determination regarding native title rights or interests.
-
D.
worldTitleYear
Indicates that a work holds a world title associated with a specific year.
-
E.
EuroTitleYear
Indicates the year in which an entity received or held a specific European title or championship.
- 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_69d80763bd6c819094437da5b20b01d2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97f2a71a0819098bb6cf8a4b2208a |
completed | April 10, 2026, 10:52 p.m. |
| PD | Predicate disambiguation | batch_69d97dbdd94c8190ac4bbecca02dc77b |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 8:34 p.m.