Triple
T22789028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Livingston Village |
E564055
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Livingston |
—
|
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: Livingston | Statement: [Livingston Village, locatedIn, Livingston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Livingston Context triple: [Livingston Village, locatedIn, Livingston]
-
A.
Livingston
chosen
Livingston is a large post-war new town in West Lothian, Scotland, known as a major residential and commercial centre within the Edinburgh commuter belt.
-
B.
Livingston
Livingston is a small city in western Alabama known as the home of the University of West Alabama.
-
C.
Livingston
Livingston is a small agricultural city in California’s Central Valley, located in Merced County.
-
D.
Livingston
Livingston is a given name used as a first name, notably borne by Margaret Livingston Cady.
-
E.
Livingston
Livingston is a suburban township in Essex County, New Jersey, known for its residential neighborhoods, strong public school system, and proximity to New York City.
- 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_69e2455500788190b4b33030461f3bbd |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17c33be7c8190ad22391a85fa000d |
completed | April 29, 2026, 3:34 a.m. |
Created at: April 17, 2026, 3:29 p.m.