Triple
T6804100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fairleigh Dickinson University Florham Campus |
E156256
|
entity |
| Predicate | hasCampusOrigin |
P34521
|
FINISHED |
| Object | former Twombly estate |
—
|
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: former Twombly estate | Statement: [Fairleigh Dickinson University Florham Campus, hasCampusOrigin, former Twombly estate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCampusOrigin Context triple: [Fairleigh Dickinson University Florham Campus, hasCampusOrigin, former Twombly estate]
-
A.
campusOrigin
chosen
Indicates that one entity originates from, was founded at, or initially established on the campus represented by the other entity.
-
B.
hasCampusCity
Indicates that an educational institution or campus is located in a particular city.
-
C.
hasSubCampus
Indicates that an institution or main campus includes or is associated with a smaller, subordinate campus as part of its organizational structure.
-
D.
hasCampusOn
Indicates that an institution or organization maintains a campus located on a specified geographic area or site.
-
E.
hasCollegeCampus
Indicates that an institution or organization possesses or is associated with a specific college campus as a physical or organizational site.
- 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_69c68826e6a48190a3d220b541e639de |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2ea459c819095388218d53c250a |
completed | March 27, 2026, 6:56 p.m. |
| PD | Predicate disambiguation | batch_69c6d099bf08819089a9f9894d037e74 |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:16 p.m.