Triple
T7709009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nugget Falls |
E174699
|
entity |
| Predicate | nearestCityCenterDistance |
P78268
|
FINISHED |
| Object | approximately 12 miles from downtown Juneau |
—
|
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 12 miles from downtown Juneau | Statement: [Nugget Falls, nearestCityCenterDistance, approximately 12 miles from downtown Juneau]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearestCityCenterDistance Context triple: [Nugget Falls, nearestCityCenterDistance, approximately 12 miles from downtown Juneau]
-
A.
nearestTownCenter
Indicates that one location is the closest town center to another specified point or area.
-
B.
nearbyUrbanCenter
Indicates that one location is geographically close to an urban center, such as a city or large town.
-
C.
nearestArea
Indicates that one area is the closest in distance to a given reference point or region compared to all other candidate areas.
-
D.
administrativeCentreNearby
Indicates that an administrative centre is located close to the referenced entity in geographic or spatial terms.
-
E.
nearestPointTo
Indicates the point that is closest in distance to a given reference point or object among a set of candidates.
- 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_69c6995b3e8c8190833108f883d5f53c |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c702ebb7448190ae8d47fe0cbb0907 |
completed | March 27, 2026, 10:21 p.m. |
| PD | Predicate disambiguation | batch_69c701683dec8190be9861e592aa8ce0 |
completed | March 27, 2026, 10:15 p.m. |
| PDg | Predicate description generation | batch_69c702e9a32081909a153190a62af426 |
completed | March 27, 2026, 10:21 p.m. |
Created at: March 27, 2026, 4:04 p.m.