Triple
T27230739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Associate in Science |
E682146
|
entity |
| Predicate | commonNextDegree |
P180129
|
FINISHED |
| Object | Bachelor of Science |
—
|
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: Bachelor of Science | Statement: [Associate in Science, commonNextDegree, Bachelor of Science]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commonNextDegree Context triple: [Associate in Science, commonNextDegree, Bachelor of Science]
-
A.
hasSocialTieWith
Indicates a social relationship or connection exists between two entities, such as friendship, acquaintance, or other interpersonal tie.
-
B.
laterNetworkOfWork
Indicates that one work is created or occurs later in time than another work within the same network or sequence of related works.
-
C.
socialCircle
Indicates that one entity belongs to, or is part of, the group of people with whom another entity regularly interacts socially.
-
D.
sharesProfessionWith
Indicates that two entities have the same profession or occupational role.
-
E.
connectsCommunity
Indicates a relationship where an entity links or brings together members or groups within a community, fostering interaction or cohesion among them.
- 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_69eefacdad7881908b7bca61c90a1a1e |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f73223675481908c1bc3208c0f5284 |
completed | May 3, 2026, 11:31 a.m. |
| PD | Predicate disambiguation | batch_69f7317690108190b3aae2cd2e1d069e |
completed | May 3, 2026, 11:28 a.m. |
| PDg | Predicate description generation | batch_69f73221eef88190bd8905e6e9f5a586 |
completed | May 3, 2026, 11:31 a.m. |
Created at: April 27, 2026, 9:46 a.m.