Triple
T30510679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benjamin Campbell |
E776409
|
entity |
| Predicate | hasRanchIn |
P25661
|
FINISHED |
| Object | area that became Campbell, California |
—
|
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: area that became Campbell, California | Statement: [Benjamin Campbell, hasRanchIn, area that became Campbell, California]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRanchIn Context triple: [Benjamin Campbell, hasRanchIn, area that became Campbell, California]
-
A.
hasRanch
chosen
Indicates that one entity owns, operates, or is associated with a ranch.
-
B.
hasRancheria
Indicates that one entity possesses, contains, or is associated with a rancheria (a small rural settlement or community).
-
C.
hasFarm
Indicates that one entity owns, operates, or is responsible for a farm associated with another entity.
-
D.
hasPaddock
Indicates that one entity possesses or is associated with a specific paddock area or enclosure.
-
E.
hasRuralArea
Indicates that an entity includes, is associated with, or contains a countryside or sparsely populated geographic area.
- 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_69f2249a155c8190b1d512106007e9bb |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f78c61ed4c8190ad84c918fa9af55a |
completed | May 3, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69f78b8cb3a881909ebaac1b503988c2 |
completed | May 3, 2026, 5:53 p.m. |
Created at: April 29, 2026, 8:16 p.m.