Triple
T11180530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Human Vacuum Cleaner |
E264525
|
entity |
| Predicate | positionSpecificTo |
P13211
|
FINISHED |
| Object | third base |
—
|
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: third base | Statement: [The Human Vacuum Cleaner, positionSpecificTo, third base]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionSpecificTo Context triple: [The Human Vacuum Cleaner, positionSpecificTo, third base]
-
A.
positionSpecific
chosen
Indicates that something applies only at, or is defined with respect to, a particular position or location within a larger structure or sequence.
-
B.
positionOn
Indicates that one entity is located on top of or at a specific place along the surface or extent of another entity.
-
C.
positionInCase
Indicates the specific role, status, or placement that an entity holds within a particular case or legal proceeding.
-
D.
positionBased
Indicates a relationship determined by the relative or absolute position of entities, where the connection depends on where they are located rather than on their intrinsic properties.
-
E.
positionUse
Indicates how a particular position or role is utilized or functionally applied within a given context.
- 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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8a7f35481909f35feb94ef10e80 |
completed | April 9, 2026, 5:58 p.m. |
| PD | Predicate disambiguation | batch_69d75cf0e6e88190973694abe2990973 |
completed | April 9, 2026, 8:01 a.m. |
Created at: April 8, 2026, 9:29 p.m.