Triple
T26615211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Long Branch, New Jersey |
E668038
|
entity |
| Predicate | usedAsSummerRetreatBy |
P1713
|
FINISHED |
| Object | Ulysses S. Grant |
—
|
NE NERFINISHED |
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: Ulysses S. Grant | Statement: [Long Branch, New Jersey, usedAsSummerRetreatBy, Ulysses S. Grant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedAsSummerRetreatBy Context triple: [Long Branch, New Jersey, usedAsSummerRetreatBy, Ulysses S. Grant]
-
A.
resort
Indicates that one entity is used or turned to as a final or alternative option by another entity, often after other possibilities have been exhausted.
-
B.
summerHomeOf
chosen
Indicates that a location serves as a seasonal or vacation residence for a person or group, specifically used during the summer.
-
C.
timePeriodUsedAsPresidentialRetreat
Indicates the time span during which a particular place was used as an official presidential retreat.
-
D.
retreatSeason
Indicates the time of year during which a retreat customarily takes place or is scheduled.
-
E.
isResortTown
Indicates that a town functions primarily as a resort destination, typically focused on tourism, leisure, and vacation activities.
- 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_69ee9cfe16088190a3dddd68e3c7b1ea |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f6c49627908190b3553474c7c3072b |
completed | May 3, 2026, 3:44 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f23ae081909a52801266063a3c |
completed | May 3, 2026, 3:41 a.m. |
Created at: April 27, 2026, 2:18 a.m.