Triple
T35169418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robbins theorem |
E1015500
|
entity |
| Predicate | involvesProperty |
P171932
|
FINISHED |
| Object | edge-connectivity at least 2 |
—
|
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: edge-connectivity at least 2 | Statement: [Robbins theorem, involvesProperty, edge-connectivity at least 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: involvesProperty Context triple: [Robbins theorem, involvesProperty, edge-connectivity at least 2]
-
A.
studiedProperty
Indicates that an entity has examined, researched, or analyzed a particular property or attribute of another entity.
-
B.
structureProperty
chosen
Indicates that one entity has a structural attribute, feature, or characteristic that describes how it is organized or composed.
-
C.
ownedPropertyWith
Indicates a relationship where one entity owns a particular property jointly or in association with another entity.
-
D.
ownedProperty
Indicates that one entity possesses legal ownership or control over another entity as property.
-
E.
isContributingPropertyTo
Indicates that one property plays a role in producing, influencing, or determining another property or overall outcome.
- 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_69f76ddbfde081908bffc91572368289 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fddd373cdc8190be1b12e70e4deb1f |
completed | May 8, 2026, 12:55 p.m. |
| PD | Predicate disambiguation | batch_69fddc6915a88190ad41e379aa3ede13 |
completed | May 8, 2026, 12:51 p.m. |
Created at: May 3, 2026, 4:02 p.m.