Triple
T17561232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ST_Within |
E427698
|
entity |
| Predicate | falseWhen |
P8788
|
FINISHED |
| Object | any point of g1 lies in the exterior of g2 |
—
|
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: any point of g1 lies in the exterior of g2 | Statement: [ST_Within, falseWhen, any point of g1 lies in the exterior of g2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: falseWhen Context triple: [ST_Within, falseWhen, any point of g1 lies in the exterior of g2]
-
A.
falseFor
Indicates that a given statement or proposition does not hold true or is invalid specifically in the context of the referenced entity or situation.
-
B.
falseNorthing
Indicates a coordinate reference system parameter specifying a constant value added to all northing (north–south) coordinates, often used to avoid negative values.
-
C.
failsWhen
chosen
Indicates that a particular action, process, or condition does not succeed under the specified circumstances or triggers.
-
D.
negates
Indicates that one entity denies, contradicts, or renders false the assertion, state, or effect expressed by another.
-
E.
fakesCondition
Indicates that an entity intentionally misrepresents or fabricates a condition, state, or situation rather than experiencing or exhibiting it genuinely.
- 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_69d889e0385081908a04b66f4dd4bd0d |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e456267e208190a1238fbe1a535bb0 |
completed | April 19, 2026, 4:12 a.m. |
| PD | Predicate disambiguation | batch_69e3b4fb39948190a82a597c5bac5c57 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:50 a.m.