Triple
T23088767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goldfield Ghost Town |
E575684
|
entity |
| Predicate | originalTownType |
P108771
|
FINISHED |
| Object | gold-mining town |
—
|
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: gold-mining town | Statement: [Goldfield Ghost Town, originalTownType, gold-mining town]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalTownType Context triple: [Goldfield Ghost Town, originalTownType, gold-mining town]
-
A.
homeTownType
Indicates the type or classification of a person's hometown (e.g., city, village, suburb).
-
B.
primaryTown
Indicates that a given town is the main or most important town associated with an entity (such as a person, organization, or region).
-
C.
cityOfOriginal
Indicates the city from which something or someone originally comes or was first created or established.
-
D.
formerMunicipalityType
chosen
Indicates that an entity was previously classified as a specific type of municipality but no longer holds that municipal status.
-
E.
nativeCity
Indicates that a city is the place where a person was born or is originally from.
- 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_69e245bf3e3c819086d3448720efc01b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18da8818481908d768a0462f3f837 |
completed | April 29, 2026, 4:48 a.m. |
| PD | Predicate disambiguation | batch_69ef89e5ce748190b2c3ac3843484127 |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 17, 2026, 3:57 p.m.