Triple
T6408822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DTD |
E127654
|
entity |
| Predicate | cardinalityOperators |
P23694
|
FINISHED |
| Object | ? (zero or one) |
—
|
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: ? (zero or one) | Statement: [DTD, cardinalityOperators, ? (zero or one)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cardinalityOperators Context triple: [DTD, cardinalityOperators, ? (zero or one)]
-
A.
cardinality
chosen
Indicates the number of distinct elements or members in a given set or collection.
-
B.
quantifiesOver
Indicates that one entity expresses a quantity, measurement, or numerical specification that applies to or ranges over another entity.
-
C.
involvesOperator
Indicates that a given process, action, or relationship includes or makes use of a specific operator as a participating element.
-
D.
associatedWithOperator
Indicates that an entity has a relationship, connection, or linkage to a specific operator (such as a service, system, or organization) involved in its operation or management.
-
E.
numberOfCounts
Indicates the total quantity or tally of discrete occurrences, items, or instances associated with an entity or event.
- 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_69c0083723d88190b1e37b19df162c08 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c068cdf25881908d42a5d979637ad6 |
completed | March 22, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69c060f40ecc8190b1df17b96767675c |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:41 p.m.