Triple
T27102138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barnett College |
E686468
|
entity |
| Predicate | hasNotableBuildingInDepiction |
P57645
|
FINISHED |
| Object | administration building |
—
|
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: administration building | Statement: [Barnett College, hasNotableBuildingInDepiction, administration building]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableBuildingInDepiction Context triple: [Barnett College, hasNotableBuildingInDepiction, administration building]
-
A.
hasNotableGovernmentBuilding
Indicates that a location possesses a government building that is significant or prominent in some recognized way.
-
B.
containsNotablePlace
Indicates that one location includes within its boundaries a place that is considered notable or significant.
-
C.
hasNotableArchitecturalFamily
Indicates that an entity is associated with a prominent or historically significant family known for its architectural work or legacy.
-
D.
notableBuildingAssociated
chosen
Indicates a relationship where a notable or significant building is associated with, connected to, or relevant to a given entity.
-
E.
hasNotableWorkDepiction
Indicates that an entity has a notable work in which it is depicted or represented.
- 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_69ef1489f8b481908e24a1985982bd26 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69fe12a899d4819080d48423f32eace9 |
completed | May 8, 2026, 4:43 p.m. |
| PD | Predicate disambiguation | batch_69fe0d7f6aa08190a1d2dfc025d4e0dc |
completed | May 8, 2026, 4:21 p.m. |
Created at: April 27, 2026, 8:48 a.m.