Triple
T26236166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SMART CAT |
E656176
|
entity |
| Predicate | usedByPersonnel |
P1480
|
FINISHED |
| Object | pilots |
—
|
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: pilots | Statement: [SMART CAT, usedByPersonnel, pilots]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedByPersonnel Context triple: [SMART CAT, usedByPersonnel, pilots]
-
A.
usedByPerson
chosen
Indicates that something (such as an object, tool, or resource) is utilized or employed by a person.
-
B.
authorizedPersonnel
Indicates that the referenced entity is officially permitted or empowered to access, use, or perform actions within a specified system, resource, or context.
-
C.
personnel
Indicates that an entity serves as staff or workforce associated with another entity, such as an organization, project, or facility.
-
D.
usedByFor
Indicates that one entity makes use of another entity for a specific purpose or function.
-
E.
usedInWorkBy
Indicates that something (such as a method, material, or concept) is employed or incorporated within a work created by a particular agent or author.
- 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_69ee5b4b8b408190993da38c0067cc8d |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f67c9fe7b48190b79b4041357edb49 |
completed | May 2, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69f678cc272081909e5c70f1bc7407f0 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 26, 2026, 9:01 p.m.