Triple
T12515302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S-record |
E299177
|
entity |
| Predicate | S9Meaning |
P45905
|
FINISHED |
| Object | termination record with 16-bit start address |
—
|
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: termination record with 16-bit start address | Statement: [S-record, S9Meaning, termination record with 16-bit start address]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: S9Meaning Context triple: [S-record, S9Meaning, termination record with 16-bit start address]
-
A.
oniMeaning
Indicates that one entity expresses or conveys the meaning or sense of another entity (such as a word, phrase, or symbol).
-
B.
stringMeaning
chosen
Indicates that one entity represents the semantic content or interpretation of a given string associated with another entity.
-
C.
ermenMeaning
Indicates that one entity represents or conveys the meaning or semantic interpretation of another entity.
-
D.
stripeMeaning
Indicates that one entity’s stripes symbolize, represent, or convey a particular meaning or significance in relation to another entity or context.
-
E.
chantMeaning
Indicates that an entity performs or conveys the meaning or content of a chant in relation to another entity or context.
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d954b867dc8190af8a70f797e4d133 |
completed | April 10, 2026, 7:51 p.m. |
| PD | Predicate disambiguation | batch_69d954096af88190b6be81b008c82139 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 8, 2026, 9:57 p.m.