Triple
T5571453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bonanza Kings |
E146210
|
entity |
| Predicate | sourceOfName |
P3325
|
FINISHED |
| Object | named for the Big Bonanza strike on the Comstock Lode |
—
|
LITERAL 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: named for the Big Bonanza strike on the Comstock Lode | Statement: [Bonanza Kings, sourceOfName, named for the Big Bonanza strike on the Comstock Lode]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sourceOfName Context triple: [Bonanza Kings, sourceOfName, named for the Big Bonanza strike on the Comstock Lode]
-
A.
nameEtymologyFor
Indicates that one entity expresses or explains the origin or derivation of the name of another entity.
-
B.
possibleNameEtymology
Indicates a hypothesized or suggested origin or derivation of an entity’s name from another term, source, or linguistic root.
-
C.
hasNameOrigin
chosen
Indicates that the origin or source of an entity’s name is specified by the related entity.
-
D.
historicalOriginMeaning
Indicates that one entity explains the original historical source or derivational meaning of another entity.
-
E.
popularEtymology
Indicates that an etymological explanation is based on common belief or folk interpretation rather than on historically or linguistically accurate origins.
- F. None of above.
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_69c008ffed108190a084602227af6157 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020502a288190af37f9ebb88fccae |
completed | March 22, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69c01b147cc081909237f3f2967d4cb8 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:37 p.m.