Triple
T23016814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mare Crisium |
E573050
|
entity |
| Predicate | hasNearbyCrater |
P34244
|
FINISHED |
| Object | Yerkes |
—
|
NE NERFINISHED |
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: Yerkes | Statement: [Mare Crisium, hasNearbyCrater, Yerkes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yerkes Context triple: [Mare Crisium, hasNearbyCrater, Yerkes]
-
A.
Yerkes
chosen
Yerkes is a surname most notably associated with American financier and streetcar magnate Charles T. Yerkes, a key figure in the development of urban transit systems in Chicago and London.
-
B.
Hilgard
Hilgard is a surname most notably associated with Eugene W. Hilgard, a pioneering 19th-century soil scientist and geologist.
-
C.
Koshland
Koshland is a surname most prominently associated with American biochemist Daniel E. Koshland Jr., known for his influential work in enzyme kinetics and science policy.
-
D.
Bridgman
Bridgman is a surname most notably associated with American physicist and Nobel laureate Percy Williams Bridgman, a pioneer in high-pressure physics.
-
E.
Bransford
Bransford is a small village in Worcestershire, England, situated near the River Teme and known for its rural setting and local golf and spa facilities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245b764cc8190a51be76f1d9611e1 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f183e59a1c8190b8048a399a4727cb |
completed | April 29, 2026, 4:07 a.m. |
Created at: April 17, 2026, 3:52 p.m.