Triple
T28002470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | the Real, the Imaginary, and the Symbolic |
E707183
|
entity |
| Predicate | hasOrderCount |
P3463
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [the Real, the Imaginary, and the Symbolic, hasOrderCount, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOrderCount Context triple: [the Real, the Imaginary, and the Symbolic, hasOrderCount, 3]
-
A.
hasOrder
Indicates that one entity possesses, is associated with, or is characterized by a specific order, sequence, or arrangement relative to others.
-
B.
numberOfOrders
chosen
Indicates the total count of orders associated with a given entity or context.
-
C.
hasApproximateOrderNumber
Indicates that an entity is associated with a non-exact, estimated, or approximate order number in a sequence or ordering.
-
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.
hasMemberOrders
Indicates that a group, organization, or collection has associated orders placed or held by its members.
- 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_69ef96b980d88190a753b2f9a978595a |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f7688dd3d08190ad13d0e780570a1c |
completed | May 3, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69f767fcf2f881908bacc7bfc38e68a5 |
completed | May 3, 2026, 3:21 p.m. |
Created at: April 27, 2026, 7:57 p.m.