Triple
T9532550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VT100 |
E229930
|
entity |
| Predicate | supportsANSIescapeCodes |
P85212
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [VT100, supportsANSIescapeCodes, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsANSIescapeCodes Context triple: [VT100, supportsANSIescapeCodes, true]
-
A.
containsColorSequences
Indicates that one entity includes or exhibits specific ordered sequences of colors associated with another entity.
-
B.
supportsAt
Indicates that one entity provides assistance, endorsement, or backing to another entity in a specific context, location, or point in time.
-
C.
supportsUnicode
Indicates that an entity is capable of correctly handling, storing, or displaying Unicode-encoded text.
-
D.
supportsTextFormat
chosen
Indicates that one entity is capable of handling, rendering, or otherwise working with a specified text format.
-
E.
supportsRemoteTerminal
Indicates that one entity provides or enables access to another entity via a remote terminal interface.
- 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_69ca8479934c81908006d0e6e970ae05 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd98b5651881908241b040f123c6a8 |
completed | April 1, 2026, 10:14 p.m. |
| PD | Predicate disambiguation | batch_69cca56c44f88190a54a5d2a133bb07e |
completed | April 1, 2026, 4:56 a.m. |
Created at: March 30, 2026, 8 p.m.