Triple
T32789998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gröbner fan |
E838598
|
entity |
| Predicate | hasFacePosetRelatedTo |
P193490
|
FINISHED |
| Object | poset of initial ideals |
—
|
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: poset of initial ideals | Statement: [Gröbner fan, hasFacePosetRelatedTo, poset of initial ideals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFacePosetRelatedTo Context triple: [Gröbner fan, hasFacePosetRelatedTo, poset of initial ideals]
-
A.
areFaceTransitive
Indicates that a face-to-face relationship between entities can be inferred transitively through intermediate face relationships (i.e., if A faces B and B faces C, then A faces C).
-
B.
hasFace
Indicates that one entity possesses, displays, or is characterized by a face.
-
C.
facedBy
Indicates that one entity is oriented toward and directly opposite another entity, such that it is facing it.
-
D.
isFaceOn
Indicates that one surface or side of an object is oriented directly toward, or aligned to face, another object or reference direction.
-
E.
facesAssociatedWith
Indicates that there is a connection or linkage between certain faces (e.g., facial instances or representations) and related entities, contexts, or records.
- F. None of above. chosen
Provenance (4 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_69f3493b83f48190be335cd42465cecf |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fd485f57dc8190820365396d041991 |
completed | May 8, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69fd47d35da081908bec8901018d186c |
completed | May 8, 2026, 2:17 a.m. |
| PDg | Predicate description generation | batch_69fd485e0c20819099756b4fe39ac326 |
completed | May 8, 2026, 2:20 a.m. |
Created at: May 1, 2026, 1:14 a.m.