Triple
T3986393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Médard des Groseilliers |
E86881
|
entity |
| Predicate | typeOfTravel |
P24304
|
FINISHED |
| Object | overland exploration |
—
|
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: overland exploration | Statement: [Médard des Groseilliers, typeOfTravel, overland exploration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfTravel Context triple: [Médard des Groseilliers, typeOfTravel, overland exploration]
-
A.
voyageType
chosen
Indicates the specific category or nature of a journey or trip that an entity undertakes.
-
B.
coTraveler
Indicates that two or more entities are traveling together along (part of) the same journey or route.
-
C.
travelsOn
Indicates that an entity moves or journeys using a particular route, path, or mode of transportation.
-
D.
travelers
Indicates that one or more entities are engaged in the activity or role of traveling, typically moving from one place to another.
-
E.
transportType
Indicates the mode or means of transportation used in carrying something or someone from one place to another.
- 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_69aed93fd9d4819085d3b2137d2346cb |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa3ef7ac8190abe02f440ff83c43 |
completed | March 9, 2026, 4:50 p.m. |
| PD | Predicate disambiguation | batch_69aef8f492ac819089dbb9436dbcdd2b |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:33 p.m.