Triple
T12734474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | northwestern Nevada |
E304326
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object | Gerlach |
E114627
|
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: Gerlach | Statement: [northwestern Nevada, containsTown, Gerlach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gerlach Context triple: [northwestern Nevada, containsTown, Gerlach]
-
A.
Gerlach
chosen
Gerlach is a small, remote community in northwestern Nevada best known as the gateway to the Black Rock Desert and the annual Burning Man festival.
-
B.
Gerlach
Gerlach is the highest peak in the High Tatras and in Slovakia, renowned as the tallest summit in the entire Carpathian mountain range.
-
C.
Weinzierl
Weinzierl is a district or locality within the Austrian city of Krems an der Donau.
-
D.
Hufstedler
Hufstedler is the surname of Shirley Hufstedler, a prominent American judge and the first U.S. Secretary of Education.
-
E.
Goeppert
Goeppert is the maiden surname of Maria Goeppert Mayer, the German-American physicist and Nobel laureate known for her work on the nuclear shell model.
- 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_69d7bdf1426c8190a4402e1c4cdec33a |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9646902408190b29268d864833b80 |
completed | April 10, 2026, 8:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c8e2dbc81909c1c85ca699a2679 |
completed | May 2, 2026, 10:37 p.m. |
Created at: April 9, 2026, 5:26 p.m.