Triple
T24709683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geo Tracker |
E611992
|
entity |
| Predicate | originCountryOfBrand |
P26
|
FINISHED |
| Object | United States |
—
|
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: United States | Statement: [Geo Tracker, originCountryOfBrand, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originCountryOfBrand Context triple: [Geo Tracker, originCountryOfBrand, United States]
-
A.
countryOfOrigin
chosen
Indicates the country from which an entity originally comes or was first produced, created, or established.
-
B.
parentCountryOfOrigin
Indicates that one country is the original source or homeland from which another country historically emerged or originated.
-
C.
engineOriginCountry
Indicates the country where an engine was originally designed, manufactured, or first produced.
-
D.
acquisitionCountry
Indicates the country in which the acquisition of an entity or asset took place.
-
E.
composerCountryOfOrigin
Indicates the country from which a composer originally comes or with which they are primarily culturally or nationally associated.
- 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_69e2c4d9c24c8190a3712d74327f0c6e |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f47b865df48190bf4b6d3e9f9305e6 |
completed | May 1, 2026, 10:08 a.m. |
| PD | Predicate disambiguation | batch_69f4682c8a3c8190adbfaac99474eaaf |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 18, 2026, 3:24 a.m.