Triple
T4479728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Commonwealth Park |
E100098
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object | ACT Government |
E177636
|
NE 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: ACT Government | Statement: [Commonwealth Park, operator, ACT Government]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ACT Government Context triple: [Commonwealth Park, operator, ACT Government]
-
A.
ACT Government
chosen
The ACT Government is the administrative authority responsible for governing the Australian Capital Territory, including its public services, infrastructure, and environmental management.
-
B.
GOV
GOV is the National Rail station code used to identify Govan subway station in Glasgow, Scotland.
-
C.
ACT
ACT is the standard vehicle registration code used for the Australian Capital Territory in Australia.
-
D.
ACT
ACT is NATO’s strategic command responsible for leading the alliance’s military transformation, innovation, and future capability development.
-
E.
ACT
ACT is a standardized college admissions test in the United States that assesses high school students' readiness for college-level work.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69b34553cbe48190afa8ac1cac285b86 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b356dcaba88190ae2d64c038450ca6 |
completed | March 13, 2026, 12:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6288b22ec8190b327b91130275af5 |
completed | March 15, 2026, 3:33 a.m. |
Created at: March 12, 2026, 11:35 p.m.