Triple
T31120762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barb |
E793214
|
entity |
| Predicate | communicationDevice |
P43299
|
FINISHED |
| Object | translator headgear |
—
|
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: translator headgear | Statement: [Barb, communicationDevice, translator headgear]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: communicationDevice Context triple: [Barb, communicationDevice, translator headgear]
-
A.
device
chosen
Indicates that one entity is a device used, controlled, or referenced by another entity in the relationship.
-
B.
languageDevice
Indicates that a device is associated with, supports, or operates using a particular language.
-
C.
communicationCapability
Indicates that one entity has the ability or means to communicate with another entity through some channel or modality.
-
D.
deviceIndicates
Indicates that a device provides a signal, status, or output that conveys information about a condition, event, or state.
-
E.
deviceName
Indicates that a device is associated with a specific name or label used to identify it.
- 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_69f224d0a7688190af3fe3e6e26d01ed |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6afebd7ec8190ab696f363d84abf0 |
completed | May 3, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69f6aca3dedc81908b519d53d2909868 |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 29, 2026, 9:04 p.m.