Triple
T11191767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dichotomy paradox |
E264818
|
entity |
| Predicate | describesScenario |
P264
|
FINISHED |
| Object | a moving object must first travel half the remaining distance to its goal |
—
|
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: a moving object must first travel half the remaining distance to its goal | Statement: [Dichotomy paradox, describesScenario, a moving object must first travel half the remaining distance to its goal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: describesScenario Context triple: [Dichotomy paradox, describesScenario, a moving object must first travel half the remaining distance to its goal]
-
A.
scenarioType
Indicates the specific category or kind of situation, context, or use case that an entity or event is associated with.
-
B.
describesPremiseOf
Indicates that one entity expresses, explains, or sets out the foundational idea, situation, or assumption underlying another entity.
-
C.
describes
chosen
Indicates that one entity provides an explanation, representation, or account of another entity or concept.
-
D.
narrativeDescription
Indicates that one entity provides a textual or spoken account describing the events, context, or details related to another entity.
-
E.
describedIn
Indicates that information about an entity is contained or documented within a specified source, such as a text, document, or media.
- 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_69d6aa9eb9248190b20211772621b4bc |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8be025481909d311b587418dfb2 |
completed | April 9, 2026, 5:58 p.m. |
| PD | Predicate disambiguation | batch_69d75cf4461c8190af84060f7db83211 |
completed | April 9, 2026, 8:01 a.m. |
Created at: April 8, 2026, 9:29 p.m.