Triple
T29784099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harvard Mark IV |
E756212
|
entity |
| Predicate | distinctionFromPredecessors |
P170435
|
FINISHED |
| Object | fully electronic design |
—
|
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: fully electronic design | Statement: [Harvard Mark IV, distinctionFromPredecessors, fully electronic design]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distinctionFromPredecessors Context triple: [Harvard Mark IV, distinctionFromPredecessors, fully electronic design]
-
A.
historicallyDistinctFrom
Indicates that two entities are recognized as separate and not the same in historical context, despite any similarities or connections they may have.
-
B.
distinctionFormulatedBy
Indicates that a particular conceptual or categorical distinction was defined, articulated, or formally introduced by a specific agent or source.
-
C.
comparedToPredecessor
Indicates that something is being evaluated or measured in relation to the thing that came immediately before it.
-
D.
distinction
Indicates that one entity is recognized, treated, or classified as different or separate from another.
-
E.
distinctionFromOtherCategories
Indicates that something is differentiated or set apart from other categories, emphasizing its unique or non-overlapping classification.
- 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_69f22451fb748190bbdbab401280affb |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f69063edbc81909e7735954aabee0b |
completed | May 3, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_69f68b7b03488190b1db5fde4c7dd6e5 |
completed | May 2, 2026, 11:40 p.m. |
| PDg | Predicate description generation | batch_69f68f6584a88190a8c4d95c0c84bee9 |
completed | May 2, 2026, 11:57 p.m. |
Created at: April 29, 2026, 5:07 p.m.