Triple
T38367833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trucks in Place |
E892497
|
entity |
| Predicate | countryOfOriginOfRelatedWork |
P129719
|
FINISHED |
| Object | United States |
E14
|
NE 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: United States | Statement: [Trucks in Place, countryOfOriginOfRelatedWork, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfOriginOfRelatedWork Context triple: [Trucks in Place, countryOfOriginOfRelatedWork, United States]
-
A.
associatedWorkCountryOfOrigin
chosen
Indicates that the related work originates from, or is primarily associated with, a specified country.
-
B.
workOriginatesFrom
Indicates that the creation, development, or initiation of a work can be traced back to a particular source, agent, or origin.
-
C.
appearsInWorkCountryOfOrigin
Indicates that an entity appears in a work whose country of origin is the specified country.
-
D.
publisherCountryOfWork
Indicates the country where the publisher of a given work is based or operates.
-
E.
originatedInWorkBy
Indicates that something was created, derived, or first appeared within a particular work produced by a specific creator.
- F. None of above.
Provenance (4 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_69f76e47cb4c8190bdd92cd1db59c0c5 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a41a7d61fc08190a6ae9737cf271165 |
completed | June 28, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_6a037a1c850c819088795a7ae59bdeb8 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:31 p.m.