Triple
T25968461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Department of Chemistry at Northwestern University |
E645740
|
entity |
| Predicate | hostsPosition |
P160308
|
FINISHED |
| Object | named professorships |
—
|
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: named professorships | Statement: [Department of Chemistry at Northwestern University, hostsPosition, named professorships]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostsPosition Context triple: [Department of Chemistry at Northwestern University, hostsPosition, named professorships]
-
A.
hostsPartOf
Indicates that one entity serves as the hosting environment or container for a specific part or component of another entity.
-
B.
ownerPosition
Indicates the spatial or positional relationship of an owner relative to the owned entity.
-
C.
hornPosition
Indicates the relative placement or orientation of a horn with respect to a reference point or object.
-
D.
hostsUnit
Indicates that one entity serves as the location or container in which another unit is situated, operates, or is organized.
-
E.
positionOften
Indicates that one entity frequently holds, occupies, or is located at a particular position relative to another entity or context.
- 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_69e77e8768648190b27bb578f14bcb88 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f604cc423081908edb1fcf694f06fc |
completed | May 2, 2026, 2:06 p.m. |
| PD | Predicate disambiguation | batch_69f5f7fba5248190945acf1561280799 |
completed | May 2, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69f600be0de88190989611e952b03117 |
completed | May 2, 2026, 1:48 p.m. |
Created at: April 22, 2026, 8:50 a.m.