Triple
T30204911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Altair 680 computer |
E767885
|
entity |
| Predicate | frontPanel |
P169717
|
FINISHED |
| Object | switches and LEDs |
—
|
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: switches and LEDs | Statement: [Altair 680 computer, frontPanel, switches and LEDs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: frontPanel Context triple: [Altair 680 computer, frontPanel, switches and LEDs]
-
A.
frontPanelColor
Indicates the color assigned to the front panel of an object or device.
-
B.
frontType
Indicates the type or category of a front (e.g., boundary or leading side) that one entity presents or forms relative to another.
-
C.
frontMaterial
Indicates that one entity is the material that forms the front surface or front-facing part of another entity.
-
D.
frontEnd
Indicates that one entity serves as the user-facing or client-side component in relation to another system or application.
-
E.
frontIn
Indicates that one entity is positioned directly in front of another entity in space or sequence.
- F. None of above. chosen
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_69f2247eb0848190b4032f302d39c0d9 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68048391c8190abe6580678f8a9ef |
completed | May 2, 2026, 10:52 p.m. |
| PD | Predicate disambiguation | batch_69f67e40af9881908de3a4aa15f70a83 |
completed | May 2, 2026, 10:44 p.m. |
| PDg | Predicate description generation | batch_69f67f7e116c819099aec724e9ef3763 |
completed | May 2, 2026, 10:49 p.m. |
Created at: April 29, 2026, 7:31 p.m.