Triple
T28390199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allendale Campus |
E719131
|
entity |
| Predicate | hasWalkwaysAndQuads |
P173714
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Allendale Campus, hasWalkwaysAndQuads, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWalkwaysAndQuads Context triple: [Allendale Campus, hasWalkwaysAndQuads, yes]
-
A.
hasWalkwayPosition
Indicates the spatial or relative position of an entity along or within a walkway.
-
B.
hasNumberOfSidewalks
Indicates the quantity of sidewalks associated with or present along a given entity or location.
-
C.
walkwayType
Indicates the specific kind or classification of a walkway associated with an entity (e.g., sidewalk, footpath, boardwalk).
-
D.
isScenicWalkway
Indicates that a path or route is designated as a walkway notable for its visually appealing or picturesque surroundings.
-
E.
isWalkable
Indicates that an entity can be traversed on foot, typically without obstruction or restriction.
- 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_69eff6ef211081909d31d9be5f5567e6 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f6b9a84ff88190ab5a71f7ef1e0dac |
completed | May 3, 2026, 2:57 a.m. |
| PD | Predicate disambiguation | batch_69f6b626120c819097c9ad04487570d7 |
completed | May 3, 2026, 2:42 a.m. |
| PDg | Predicate description generation | batch_69f6b8fe147881908ba17483c7b13f05 |
completed | May 3, 2026, 2:54 a.m. |
Created at: April 28, 2026, 1:13 a.m.