Triple
T32058839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University St |
E818691
|
entity |
| Predicate | typicalSurroundings |
P206165
|
FINISHED |
| Object | academic buildings |
—
|
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: academic buildings | Statement: [University St, typicalSurroundings, academic buildings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalSurroundings Context triple: [University St, typicalSurroundings, academic buildings]
-
A.
typicalInterior
Indicates that one entity is the usual or characteristic interior of another entity.
-
B.
typicalAbode
Indicates the usual or characteristic place where an entity lives, resides, or is most commonly found.
-
C.
typicalInteriorAppearance
Indicates the usual or characteristic look and visual qualities of an entity’s interior.
-
D.
materialOfSurroundings
Indicates the material composition of the environment or medium that physically surrounds an entity.
-
E.
typicalVenueSetting
Indicates the usual or characteristic type of venue or setting in which an event, activity, or interaction typically takes place.
- 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_69f348fdacec8190b9f74375ca3b2094 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379eaa540819095a1c5d9f3513f9b |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c7fb9f88190b384b1b68200aef0 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 12:21 a.m.