Triple
T11958166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GAS |
E284603
|
entity |
| Predicate | supportsDebugFormats |
P102483
|
FINISHED |
| Object | DWARF |
—
|
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: DWARF | Statement: [GAS, supportsDebugFormats, DWARF]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsDebugFormats Context triple: [GAS, supportsDebugFormats, DWARF]
-
A.
supportsTextFormat
Indicates that one entity is capable of handling, rendering, or otherwise working with a specified text format.
-
B.
supportsBackupFormat
Indicates that one entity is capable of handling, storing, or operating with another entity as a backup data format.
-
C.
operatesInFormat
Indicates that an entity functions, performs its role, or is carried out using a specified format.
-
D.
hasColorFormat
Indicates that an entity uses or is associated with a specific color representation or encoding format.
-
E.
supportsVectorFormat
Indicates that one entity is capable of handling, processing, or outputting data in a vector-based format for another entity or context.
- 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_69d6ab2db38c8190b1f0ed6663ef8ada |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903681a00819098c2b5260e2ef834 |
completed | April 10, 2026, 2:04 p.m. |
| PD | Predicate disambiguation | batch_69d8bb3e48e08190b2fee43af4f57323 |
completed | April 10, 2026, 8:56 a.m. |
| PDg | Predicate description generation | batch_69d8dd0ba0f88190b7d5e358c27ca184 |
completed | April 10, 2026, 11:20 a.m. |
Created at: April 8, 2026, 9:45 p.m.