Triple
T7018448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ginninderra |
E162754
|
entity |
| Predicate | includesSuburb |
P41355
|
FINISHED |
| Object | McKellar |
E602495
|
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: McKellar | Statement: [Ginninderra, includesSuburb, McKellar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: McKellar Context triple: [Ginninderra, includesSuburb, McKellar]
-
A.
McKellar
chosen
McKellar is a Scottish surname borne by various notable individuals in politics, arts, and public life.
-
B.
McKernan
McKernan is the surname of Ron "Pigpen" McKernan, the influential founding keyboardist and vocalist of the Grateful Dead.
-
C.
Keller
Keller is a suburban city in the Dallas–Fort Worth metropolitan area known for its family-friendly neighborhoods and strong public schools.
-
D.
Keller
Keller is the surname of Helen Keller, the renowned American author and disability rights advocate who was both deaf and blind.
-
E.
McGillis
McGillis is a surname most notably associated with American actress Kelly McGillis, known for her roles in films such as "Top Gun" and "Witness."
- 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_69c6885a127c8190867b059bdccf13ff |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e1e79c108190a507335e9dbf2716 |
completed | March 27, 2026, 8 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7756a50608190b548ce4aeaaf9f9d |
completed | March 28, 2026, 6:30 a.m. |
Created at: March 27, 2026, 2:34 p.m.