Triple
T14911076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tukey's fences |
E371260
|
entity |
| Predicate | definesLowerFence |
P39203
|
FINISHED |
| Object | Q1 - 1.5 × IQR for standard rule |
—
|
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: Q1 - 1.5 × IQR for standard rule | Statement: [Tukey's fences, definesLowerFence, Q1 - 1.5 × IQR for standard rule]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: definesLowerFence Context triple: [Tukey's fences, definesLowerFence, Q1 - 1.5 × IQR for standard rule]
-
A.
hasLowerBoundaryDefinedBy
chosen
Indicates that one entity’s lower limit, edge, or boundary is specified or determined by another entity.
-
B.
lowerLimit
Indicates that one value serves as the minimum or smallest allowable bound or threshold for another value or range.
-
C.
flagLoweringInvolves
Indicates that a flag-lowering event includes or entails participation, actions, or elements associated with a specified entity.
-
D.
hasLowerFloor
Indicates that one location, structure, or level includes or is directly connected to a floor situated below another floor.
-
E.
lowerTerminus
Indicates that one entity serves as the lower endpoint or downstream terminus of another entity, such as a route, segment, or connection.
- 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_69d85cc7ea3481908228b5acb7d06f12 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded61c6b9c8190a92934d49b98fe46 |
completed | April 15, 2026, 12:04 a.m. |
| PD | Predicate disambiguation | batch_69de9a4a14a88190951bb8f4c60bd37b |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:26 a.m.