Triple
T2905690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | College of New Jersey |
E62756
|
entity |
| Predicate | NassauHallCompleted |
P42650
|
FINISHED |
| Object | 1756 |
—
|
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: 1756 | Statement: [College of New Jersey, NassauHallCompleted, 1756]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NassauHallCompleted Context triple: [College of New Jersey, NassauHallCompleted, 1756]
-
A.
designatedNYCLandmark
Indicates that an entity has been officially designated as a New York City landmark by the appropriate municipal authority.
-
B.
RockefellerForest
Indicates a relationship where something is located in, associated with, or part of Rockefeller Forest.
-
C.
isMainBuildingOf
Indicates that a building serves as the primary or central facility associated with a particular organization, complex, or site.
-
D.
wasColonialCapitalOf
Indicates that a place served as the administrative capital of a specified colonial territory or power.
-
E.
hasCityHall
Indicates that a location or administrative area possesses or is served by a specific city hall building or institution.
- 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_69ab4c3e070c8190b78d3d2c005876dd |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abe0cee7988190875665145c3cd605 |
completed | March 7, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69abdd19bac881908f047d616aca8438 |
completed | March 7, 2026, 8:08 a.m. |
| PDg | Predicate description generation | batch_69abdd96670c8190b727f9ac27dadf67 |
completed | March 7, 2026, 8:11 a.m. |
Created at: March 6, 2026, 10:11 p.m.