Triple
T16751299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Three Sisters |
E407086
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Wimlah |
E359432
|
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: Wimlah | Statement: [Three Sisters, hasPart, Wimlah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wimlah Context triple: [Three Sisters, hasPart, Wimlah]
-
A.
Wimlah
chosen
Wimlah is one of the three iconic sandstone rock pillars known as the Three Sisters in the Blue Mountains of New South Wales, Australia.
-
B.
Wetlina
Wetlina is a small village in southeastern Poland that serves as a popular gateway and base for hiking and tourism in the Bieszczady Mountains.
-
C.
Wati
Wati is an alternative name for the Western Desert language, a large Aboriginal Australian language continuum spoken across parts of Western Australia, South Australia, and the Northern Territory.
-
D.
Ruwer
Ruwer is a small wine-growing region in Germany’s Mosel area, noted for its cool climate and production of light, crisp white wines.
-
E.
Achim
Achim is a small town in Lower Saxony, Germany, located near the city of Bremen.
- 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_69d8838ffb088190a0b11149929006bf |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3aa271de48190b4a535408aeef734 |
completed | April 18, 2026, 3:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a52402848190b029cb0be31b4c74 |
completed | May 10, 2026, 3:32 p.m. |
Created at: April 10, 2026, 5:21 a.m.