Triple
T9761625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NSSet |
E236683
|
entity |
| Predicate | ordering |
P37518
|
FINISHED |
| Object | unordered |
—
|
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: unordered | Statement: [NSSet, ordering, unordered]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ordering Context triple: [NSSet, ordering, unordered]
-
A.
order
Indicates that one entity requests, arranges, or directs that another entity provide a good, service, or action, typically in a specified sequence or priority.
-
B.
orderedBy
Indicates that one entity has placed a request or purchase for another entity, typically specifying who initiated the order.
-
C.
orderOf
chosen
Indicates that one entity is arranged, ranked, or sequenced before or after another according to a specified ordering criterion.
-
D.
orderedSackOf
Indicates that one entity is a collection of items arranged in a specific sequence, where the order of elements in the sack matters.
-
E.
distributionOrder
Indicates the sequence or arrangement in which items or resources are distributed among recipients or locations.
- 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_69ca84d64f6c8190a4ed4e9f5936eda5 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda04c70108190a8ed09eb6f2a124e |
completed | April 1, 2026, 10:46 p.m. |
| PD | Predicate disambiguation | batch_69cd03d0772c8190bd1750cf1cfba309 |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:25 p.m.