Triple
T17516479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Flume Gorge |
E426580
|
entity |
| Predicate | hasBoardwalkLength |
P63203
|
FINISHED |
| Object | approximately 800 feet |
—
|
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: approximately 800 feet | Statement: [The Flume Gorge, hasBoardwalkLength, approximately 800 feet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBoardwalkLength Context triple: [The Flume Gorge, hasBoardwalkLength, approximately 800 feet]
-
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.
hasPromenadeLength
chosen
Indicates the length or extent of a promenade associated with an entity.
-
E.
hasPierLength
Indicates that one entity (typically a pier or similar structure) has a specified length measurement.
- 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_69d889dd9164819087b1dc3c9240c870 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4526097388190ba1a949064962a24 |
completed | April 19, 2026, 3:56 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f5fbcc8190a6ea9639bf5650da |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:49 a.m.