Triple
T25350482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zones of Thought |
E635667
|
entity |
| Predicate | hasZoneOrdering |
P97225
|
FINISHED |
| Object | Unthinking Depths below Slow Zone |
—
|
NE NERFINISHED |
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: Unthinking Depths below Slow Zone | Statement: [Zones of Thought, hasZoneOrdering, Unthinking Depths below Slow Zone]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasZoneOrdering Context triple: [Zones of Thought, hasZoneOrdering, Unthinking Depths below Slow Zone]
-
A.
hasOrderingMethod
Indicates that there is a specific method or procedure used to place or arrange an order for something.
-
B.
hasColumnOrder
Indicates that one column in a sequence is positioned before or after another column, specifying their relative ordering.
-
C.
hasElementOrder
chosen
Indicates that one entity is ordered or ranked relative to another within a sequence or hierarchy.
-
D.
hasOrderStructure
Indicates that there is a defined ordering relation imposed on the elements of a set or collection, specifying how they are arranged or compared in terms of order.
-
E.
columnOrderUsed
Indicates that a specific ordering of columns is applied or relied upon in a given context or operation.
- 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_69e75a9ac5d881909387ed766e20cd47 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f49dfb8c688190aad99932e6fe956a |
completed | May 1, 2026, 12:35 p.m. |
| PD | Predicate disambiguation | batch_69f45d0dbc8c8190beecce679fce90a4 |
completed | May 1, 2026, 7:58 a.m. |
Created at: April 21, 2026, 1:34 p.m.