Triple
T2658886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hugh Glass |
E54678
|
entity |
| Predicate | traveledOnFoot |
P2694
|
FINISHED |
| Object | to Fort Kiowa |
—
|
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: to Fort Kiowa | Statement: [Hugh Glass, traveledOnFoot, to Fort Kiowa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traveledOnFoot Context triple: [Hugh Glass, traveledOnFoot, to Fort Kiowa]
-
A.
hasTrailDistanceToFootbridge
Indicates the length of the trail segment separating a given location or feature from a specified footbridge.
-
B.
pedestrianOnly
Indicates that a path, area, or route is designated exclusively for pedestrians and prohibits vehicle access.
-
C.
journeyFrom
Indicates that an entity undertakes or originates a journey starting from a specified location or source.
-
D.
wentTo
chosen
Indicates that one entity traveled or moved from its original location to another specified place.
-
E.
pedestrianFriendly
Indicates that an environment, route, or area is designed or suitable for safe, comfortable, and convenient use by pedestrians.
- 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_69ab49e028948190b97e01d73548b1d9 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd94dcaa48190aec625f68ce61a02 |
completed | March 7, 2026, 7:52 a.m. |
| PD | Predicate disambiguation | batch_69abd81768748190bd965f367cf6ef37 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:53 p.m.