Triple
T13565814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Château de Marly |
E324030
|
entity |
| Predicate | waterSuppliedBy |
P4102
|
FINISHED |
| Object | Marly machine |
E1047173
|
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: Marly machine | Statement: [Château de Marly, waterSuppliedBy, Marly machine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marly machine Context triple: [Château de Marly, waterSuppliedBy, Marly machine]
-
A.
Marly machine
chosen
The Marly machine was a monumental 17th-century hydraulic system built near the Château de Marly to pump water from the Seine to supply the fountains and gardens of the Palace of Versailles.
-
B.
Machin
Machin is a surname most notably associated with British sculptor and coin designer Arnold Machin, whose portrait of Queen Elizabeth II appeared on UK coins for decades.
-
C.
Machin
Machin is a small township and municipality located in northwestern Ontario, Canada.
-
D.
WABAC machine
The WABAC machine is a fictional time-travel device used by the characters Mr. Peabody and Sherman to journey through and comically interact with key moments in history.
-
E.
Machín
Machín is a stratovolcano in Colombia’s Central Andes known for its explosive eruptions and significant volcanic hazards.
- 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_69d8076830b48190910a902bae5888e2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb00cecd48190a9a2caff3d424817 |
completed | April 12, 2026, 2:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76bb3d77c8190a7af2ee7e9b6748a |
completed | May 3, 2026, 3:37 p.m. |
Created at: April 9, 2026, 9:48 p.m.