Triple
T27305280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nunapitchuk, Alaska |
E689034
|
entity |
| Predicate | hasBoardwalkInfrastructure |
P176285
|
FINISHED |
| Object | pedestrian boardwalks connecting homes |
—
|
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: pedestrian boardwalks connecting homes | Statement: [Nunapitchuk, Alaska, hasBoardwalkInfrastructure, pedestrian boardwalks connecting homes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBoardwalkInfrastructure Context triple: [Nunapitchuk, Alaska, hasBoardwalkInfrastructure, pedestrian boardwalks connecting homes]
-
A.
hasOutfieldBoardwalk
Indicates that an outfield area includes or is equipped with a boardwalk structure.
-
B.
isBoardwalkAttraction
Indicates that one entity is an attraction or point of interest located on or directly associated with a boardwalk.
-
C.
boardwalkType
Indicates the specific kind or classification of a boardwalk in relation to its general category or design.
-
D.
boardwalkNamedAfter
Indicates that a particular boardwalk bears the name of, or is dedicated in honor of, a specific person, place, or entity.
-
E.
hasWheelchairLanes
Indicates that a location, route, or facility includes designated lanes or pathways specifically designed for wheelchair use.
- 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_69ef355b931c8190a63cafaf7bcc008b |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69f6dfcafd0c81908d86662948c539d6 |
completed | May 3, 2026, 5:40 a.m. |
| PD | Predicate disambiguation | batch_69f6de07836481908785cde9c511920b |
completed | May 3, 2026, 5:32 a.m. |
| PDg | Predicate description generation | batch_69f6df418f488190a5e7ff41f32dceda |
completed | May 3, 2026, 5:38 a.m. |
Created at: April 27, 2026, 11:24 a.m.