Triple
T22249431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Judd Foundation |
E549934
|
entity |
| Predicate | maintainsPropertyIn |
P31537
|
FINISHED |
| Object | 101 Spring Street, New York City |
—
|
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: 101 Spring Street, New York City | Statement: [Judd Foundation, maintainsPropertyIn, 101 Spring Street, New York City]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maintainsPropertyIn Context triple: [Judd Foundation, maintainsPropertyIn, 101 Spring Street, New York City]
-
A.
maintainsThrough
Indicates that one entity preserves, upholds, or continues a state, condition, or relationship by means of another specified entity, process, or medium.
-
B.
maintainsThat
Indicates that one entity asserts, claims, or upholds a particular proposition, belief, or statement about something.
-
C.
maintainedWithin
chosen
Indicates that one entity is kept, preserved, or sustained inside the boundaries or context of another entity.
-
D.
changesProperty
Indicates that one entity causes a change in a specific property or attribute of another entity.
-
E.
parityMaintainedWith
Indicates that a state of equality or balance (such as value, status, or conditions) is preserved between two entities over time.
- 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_69e11e41d9408190bd770cf282e22753 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f138bc69d48190b185d4b8f4089922 |
completed | April 28, 2026, 10:46 p.m. |
| PD | Predicate disambiguation | batch_69e72fe1e0cc8190bd13cff2a0846225 |
completed | April 21, 2026, 8:05 a.m. |
Created at: April 16, 2026, 8:39 p.m.