Triple
T12264788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iris Burn |
E292314
|
entity |
| Predicate | isPartOf |
P10
|
FINISHED |
| Object | Kepler Track |
E46045
|
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: Kepler Track | Statement: [Iris Burn, isPartOf, Kepler Track]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kepler Track Context triple: [Iris Burn, isPartOf, Kepler Track]
-
A.
Kepler Track
chosen
The Kepler Track is a renowned multi-day Great Walk in New Zealand, offering alpine and lakeside scenery in the Fiordland region of the South Island.
-
B.
Keppler
Keppler is a German surname most notably associated with Wilhelm Keppler, an industrialist and early economic adviser to Adolf Hitler.
-
C.
Kepler
Kepler is a prominent lunar impact crater on the Moon’s near side, notable for its bright ray system and relatively young geological age.
-
D.
Kepler
Kepler was a NASA space telescope mission designed to discover Earth-sized exoplanets by monitoring the brightness of distant stars for transit signals.
-
E.
Kepler
Kepler is an indie rock band known for its atmospheric, guitar-driven sound and connections to the Canadian music scene.
- 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_69d6ab6856488190b5d31178d5015f8e |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cdc42988190b4e2a6591a6f919d |
completed | April 10, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60ac4f2bc8190b5fde350c9e61bd6 |
completed | May 2, 2026, 2:31 p.m. |
Created at: April 8, 2026, 9:52 p.m.