Triple
T25971363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mead–Conway VLSI design revolution |
E645815
|
entity |
| Predicate | locationOfEarlyAdoption |
P14489
|
FINISHED |
| Object | California Institute of Technology |
—
|
NE NERFINISHED |
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: California Institute of Technology | Statement: [Mead–Conway VLSI design revolution, locationOfEarlyAdoption, California Institute of Technology]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locationOfEarlyAdoption Context triple: [Mead–Conway VLSI design revolution, locationOfEarlyAdoption, California Institute of Technology]
-
A.
locationOfEarlyUse
chosen
Indicates the place where something was first or among the earliest instances to be used or applied.
-
B.
previousVersionLocationOfAdoption
Indicates that one entity is the location where an earlier or prior version of another entity was adopted.
-
C.
wasEarlyAdopterOf
Indicates that an entity adopted, used, or supported something significantly earlier than most others.
-
D.
regionOfEarlyReception
Indicates the geographic area where something was first received, adopted, or influentially taken up.
-
E.
placeOfFormalAdoption
Indicates the location where a formal adoption legally took place.
- 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_69e77e8768648190b27bb578f14bcb88 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69fcef654d588190b29ecc76678d1aa0 |
completed | May 7, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69fcecdb97f48190b382b7d13be92dc0 |
completed | May 7, 2026, 7:49 p.m. |
Created at: April 22, 2026, 8:51 a.m.