Triple
T10383348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ogallala, Nebraska |
E244696
|
entity |
| Predicate | nearbyRecreation |
P85424
|
FINISHED |
| Object | boating on Lake McConaughy |
—
|
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: boating on Lake McConaughy | Statement: [Ogallala, Nebraska, nearbyRecreation, boating on Lake McConaughy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearbyRecreation Context triple: [Ogallala, Nebraska, nearbyRecreation, boating on Lake McConaughy]
-
A.
nearbyVenue
Indicates that one venue is located close to another venue in physical space.
-
B.
hasRecreationalUseNearby
Indicates that there is at least one location or facility for recreational activities situated close to the referenced entity.
-
C.
nearbyEvent
Indicates that one event occurs close in space or time to another event.
-
D.
nearbyActivity
chosen
Indicates that an activity occurs close in space or proximity to a specified entity or location.
-
E.
nearbyCampground
Indicates that one location has a campground situated close to it in geographic proximity.
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9a2aafc8190aa11d14852fa1599 |
completed | April 7, 2026, 11:25 a.m. |
| PD | Predicate disambiguation | batch_69d4dfb0e7a88190bec0b7a52c70dfe2 |
completed | April 7, 2026, 10:42 a.m. |
Created at: April 6, 2026, 12:04 p.m.