Triple
T24223473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Gansevoort |
E601524
|
entity |
| Predicate | hasPartInMottoOrInscription |
P14561
|
FINISHED |
| Object | “Fort Schuyler” name used for Fort Stanwix during his command |
—
|
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: “Fort Schuyler” name used for Fort Stanwix during his command | Statement: [Peter Gansevoort, hasPartInMottoOrInscription, “Fort Schuyler” name used for Fort Stanwix during his command]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPartInMottoOrInscription Context triple: [Peter Gansevoort, hasPartInMottoOrInscription, “Fort Schuyler” name used for Fort Stanwix during his command]
-
A.
hasPartInMotto
chosen
Indicates that something is included as a component or element within a motto.
-
B.
hasMottoDepiction
Indicates that something visually represents or depicts the motto associated with an entity.
-
C.
hasMottoSymbol
Indicates that an entity’s motto is represented or accompanied by a particular symbol.
-
D.
mottoInscription
Indicates that a particular motto is inscribed on or associated as an inscription with an entity.
-
E.
isMottoOf
Indicates that a phrase or expression serves as the official motto associated with a particular entity.
- 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_69e29537ca548190b94a37ebe1977caf |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f287dd148081909f02e521ad6043b1 |
completed | April 29, 2026, 10:36 p.m. |
| PD | Predicate disambiguation | batch_69f1c448abec8190b87cbf9ed419a309 |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 18, 2026, midnight