Triple
T27906004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edward J. Riegelmann |
E705780
|
entity |
| Predicate | boardwalkNamedAfter |
P163762
|
FINISHED |
| Object | Riegelmann Boardwalk |
—
|
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: Riegelmann Boardwalk | Statement: [Edward J. Riegelmann, boardwalkNamedAfter, Riegelmann Boardwalk]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: boardwalkNamedAfter Context triple: [Edward J. Riegelmann, boardwalkNamedAfter, Riegelmann Boardwalk]
-
A.
boardwalkBuiltTo
Indicates that a boardwalk has been constructed extending to or connecting with a specified location or feature.
-
B.
boardwalkType
Indicates the specific kind or classification of a boardwalk in relation to its general category or design.
-
C.
hasOutfieldBoardwalk
Indicates that an outfield area includes or is equipped with a boardwalk structure.
-
D.
otherNotableWalk
Indicates that an entity has participated in or is associated with another significant walking event or route distinct from its primary or most notable walk.
-
E.
isOnGreatWalk
Indicates that one location or path lies along or is part of a designated “Great Walk” route.
- 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_69ef96b5aad08190be36a277c31e7004 |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f63c045bd081908e0cb2a119202e8f |
completed | May 2, 2026, 6:01 p.m. |
| PD | Predicate disambiguation | batch_69f6370ea79c81909b761821ee0fa698 |
completed | May 2, 2026, 5:40 p.m. |
| PDg | Predicate description generation | batch_69f63b3039808190b00bbd19161487f3 |
completed | May 2, 2026, 5:58 p.m. |
Created at: April 27, 2026, 6:45 p.m.