Triple
T34524751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Distance Measuring Equipment |
E886369
|
entity |
| Predicate | displaysTo |
P178018
|
FINISHED |
| Object | pilot |
—
|
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: pilot | Statement: [Distance Measuring Equipment, displaysTo, pilot]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: displaysTo Context triple: [Distance Measuring Equipment, displaysTo, pilot]
-
A.
displays
Indicates that one entity visually presents or shows another entity’s content or information.
-
B.
canBeDisplayedOn
chosen
Indicates that something is capable of being shown or rendered on a particular medium, device, or interface.
-
C.
displaysFeature
Indicates that one entity presents, shows, or makes visible a particular feature or characteristic of another entity.
-
D.
displayMode
Indicates how content or information is visually presented or arranged to the user.
-
E.
displayOutputs
Indicates that an entity presents or renders one or more output results, signals, or representations, typically as a consequence of some processing or interaction.
- 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_69f349cd7c148190aa99192b126d1527 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7234bcaa48190ac970759d34e254a |
completed | May 3, 2026, 10:28 a.m. |
| PD | Predicate disambiguation | batch_69f72155c48881909bd40b9aa3febd5a |
completed | May 3, 2026, 10:20 a.m. |
Created at: May 1, 2026, 2:02 a.m.