Triple
T16852883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LCD TV |
E409716
|
entity |
| Predicate | largelyReplaced |
P114659
|
FINISHED |
| Object | CRT TV |
—
|
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: CRT TV | Statement: [LCD TV, largelyReplaced, CRT TV]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: largelyReplaced Context triple: [LCD TV, largelyReplaced, CRT TV]
-
A.
partlyReplacedBy
Indicates that one entity has been superseded or substituted in part, but not entirely, by another entity.
-
B.
oftenReplacedBy
Indicates that one entity is frequently substituted or superseded by another in similar contexts or uses.
-
C.
placedBy
Indicates that one entity was positioned, set, or put in a location or context by another entity.
-
D.
developedAsReplacementFor
chosen
Indicates that one entity was created or designed specifically to take the place of another entity, serving as its successor or substitute.
-
E.
discontinuedInFavorOf
Indicates that one thing has been stopped, ended, or phased out specifically so it can be replaced by another preferred alternative.
- 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_69d88395e6c88190b22730f335107c14 |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b37abadc81909d02d329403497d6 |
completed | April 18, 2026, 4:38 p.m. |
| PD | Predicate disambiguation | batch_69e32b8cbb048190878a259cc5be960e |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:24 a.m.