Triple
T19596458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Turtle |
E470360
|
entity |
| Predicate | hasFamousParaphrase |
P53846
|
FINISHED |
| Object | turtles all the way down |
—
|
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: turtles all the way down | Statement: [World Turtle, hasFamousParaphrase, turtles all the way down]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFamousParaphrase Context triple: [World Turtle, hasFamousParaphrase, turtles all the way down]
-
A.
oftenMisquotedAs
Indicates that one entity is frequently incorrectly cited or repeated as being another specific entity or expression.
-
B.
openingMotifPopularParaphrase
Indicates that the opening motif of a work is commonly referenced, rephrased, or echoed in popular or widely recognized paraphrased form.
-
C.
hasNotablePhrase
chosen
Indicates that an entity is associated with a specific phrase or expression that is considered notable or characteristic of it.
-
D.
hasFamousPass
Indicates that an entity possesses or is associated with a well-known or historically significant pass (such as a route, corridor, or access point).
-
E.
notableQuoteTranslation
Indicates that one quote is a translation of another quote, preserving its meaning across different languages.
- 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_69d8e510024481908415c0d616fa6186 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e6407b997881909762c8f919c9cdad |
completed | April 20, 2026, 3:04 p.m. |
| PD | Predicate disambiguation | batch_69e514e166dc8190a0f147e0b4c8bbe7 |
completed | April 19, 2026, 5:46 p.m. |
Created at: April 10, 2026, 1:43 p.m.