Triple
T26176656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zilog |
E654560
|
entity |
| Predicate | Z80IntroducedInYear |
P3297
|
FINISHED |
| Object | 1976 |
—
|
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: 1976 | Statement: [Zilog, Z80IntroducedInYear, 1976]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Z80IntroducedInYear Context triple: [Zilog, Z80IntroducedInYear, 1976]
-
A.
introducedInYear
chosen
Indicates the year in which something was first introduced, launched, or made available.
-
B.
introducedInPublicationYear
Indicates the year in which something (such as a concept, method, or product) was first introduced or presented in a publication.
-
C.
eighthGenerationStartYear
Indicates the calendar year in which the eighth generation of a series, product line, or lineage begins.
-
D.
reintroducedInYear
Indicates that an entity, previously absent or discontinued, was brought back or reinstated in a specified year.
-
E.
screenDebutYear
Indicates the year in which an entity first appeared on screen (such as in film, television, or other recorded visual media).
- 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_69ee5b45873c81909499203612d05d07 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f60c6c9b808190812dcb252b9844f2 |
completed | May 2, 2026, 2:38 p.m. |
| PD | Predicate disambiguation | batch_69f5b0021da88190bdd4cf2698c23edf |
completed | May 2, 2026, 8:04 a.m. |
Created at: April 26, 2026, 8:38 p.m.