Triple
T6693534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USS Yorktown (CV-10) |
E152687
|
entity |
| Predicate | preservedSince |
P29675
|
FINISHED |
| Object | 1970s |
—
|
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: 1970s | Statement: [USS Yorktown (CV-10), preservedSince, 1970s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: preservedSince Context triple: [USS Yorktown (CV-10), preservedSince, 1970s]
-
A.
preservedAt
Indicates that something is kept, maintained, or conserved in a particular place or context.
-
B.
preservesAsTimeOf
Indicates that one entity maintains or records another entity specifically as a temporal reference or time-related designation.
-
C.
existsSince
chosen
Indicates that an entity has been in existence or valid from a specified point in time onward.
-
D.
observedSince
Indicates that one entity has been continuously or repeatedly observed starting from a specified point in time.
-
E.
representedSince
Indicates that one entity has been acting as a representative or agent for another entity continuously from a specified starting time.
- 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_69c6880687b08190805278b504d1c92c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6cd0fa5188190a23281cb09d98139 |
completed | March 27, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69c6ad0d3c1081908dadff7a6a054123 |
completed | March 27, 2026, 4:15 p.m. |
Created at: March 27, 2026, 2:05 p.m.