Triple
T17517458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ESP8266 |
E426602
|
entity |
| Predicate | hasSRAM |
P9335
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [ESP8266, hasSRAM, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSRAM Context triple: [ESP8266, hasSRAM, yes]
-
A.
sramOptions
Indicates that certain configuration or operational parameters are associated with or applied to SRAM (static random-access memory).
-
B.
comparedToSRAM
Indicates a relationship where one entity is evaluated or measured in comparison to SRAM (Static Random-Access Memory) in terms of some property or performance characteristic.
-
C.
hasRAM
chosen
Indicates that an entity possesses or is equipped with a specified amount or type of random-access memory (RAM).
-
D.
hasMemoryIn
Indicates that an entity possesses or stores memory, information, or experiences within a specified context, location, or medium.
-
E.
hasPedal
Indicates that one entity possesses or is equipped with a pedal or pedals used for operation or control.
- 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_69d889dd9164819087b1dc3c9240c870 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e452615a8481909974e9855ea7a8e4 |
completed | April 19, 2026, 3:56 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f5fbcc8190a6ea9639bf5650da |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:49 a.m.