Triple
T18026399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doc Boone |
E431262
|
entity |
| Predicate | travelsWithGroup |
P83703
|
FINISHED |
| Object | Stagecoach passengers |
—
|
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: Stagecoach passengers | Statement: [Doc Boone, travelsWithGroup, Stagecoach passengers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: travelsWithGroup Context triple: [Doc Boone, travelsWithGroup, Stagecoach passengers]
-
A.
modeOfTravelWithCompanions
Indicates the manner or method of travel used when moving together with one or more companions.
-
B.
voyageWith
chosen
Indicates that two or more entities travel together on the same journey or trip, sharing a common route or voyage.
-
C.
ridesWith
Indicates that one entity is traveling together in the same vehicle or conveyance as another entity.
-
D.
tourWith
Indicates that one entity accompanies another on a tour, sharing the same itinerary or guided experience.
-
E.
involvedTravelBetween
Indicates a relationship where an entity participates in or is associated with travel occurring between two specified locations.
- 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_69d8b9050fb48190890155145deb0a66 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b9c6a4208190846ed28681ba7daa |
completed | April 19, 2026, 11:17 a.m. |
| PD | Predicate disambiguation | batch_69e3f904b8048190add43883cd7cb191 |
completed | April 18, 2026, 9:35 p.m. |
Created at: April 10, 2026, 10:24 a.m.