Triple
T17486237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Society for Industrial and Organizational Psychology |
E425783
|
entity |
| Predicate | divisionNumber |
P61849
|
FINISHED |
| Object | 14 |
—
|
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: 14 | Statement: [Society for Industrial and Organizational Psychology, divisionNumber, 14]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: divisionNumber Context triple: [Society for Industrial and Organizational Psychology, divisionNumber, 14]
-
A.
divisionRenamedFrom
Indicates that a division currently known by one name was previously known by another specified name.
-
B.
divisionAssignment
chosen
Indicates that one entity is assigned to or associated with a particular division within an organizational or structural hierarchy.
-
C.
parallelDivision
Indicates that one entity is divided or partitioned in a way that runs parallel to the division or partitioning of another entity.
-
D.
divisionContext
Indicates the situational or conceptual setting in which a division operation or separation between entities takes place.
-
E.
divisionSize
Indicates the size or magnitude of a division or subdivided part in relation to a whole.
- 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_69d889dccf7481909264a1844a2e9100 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451d1f4708190b7c4d61326a2c4a4 |
completed | April 19, 2026, 3:53 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f341c88190adabe526d8903b05 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:48 a.m.