Triple
T26321019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marché-Concours national de chevaux |
E662108
|
entity |
| Predicate | transportHighlight |
P178263
|
FINISHED |
| Object | horse-drawn carriages |
—
|
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: horse-drawn carriages | Statement: [Marché-Concours national de chevaux, transportHighlight, horse-drawn carriages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transportHighlight Context triple: [Marché-Concours national de chevaux, transportHighlight, horse-drawn carriages]
-
A.
trainGuidance
Indicates that an entity provides guidance, instruction, or direction in the context of training or learning activities for another entity.
-
B.
modernTransportRoute
Indicates a transportation route that uses contemporary or up-to-date modes, infrastructure, or standards for moving people or goods between locations.
-
C.
transportCorridor
Indicates a route or pathway used to move people, goods, or resources between locations.
-
D.
transportDevelopment
Indicates the development or improvement of transportation systems, infrastructure, or services connecting places or entities.
-
E.
providesUrbanTransport
Indicates that one entity supplies or operates transportation services within an urban or city environment for another entity or the public.
- 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_69ee812e73048190aae587f1d51e5a06 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f70e8755a48190931eaa77946f9460 |
completed | May 3, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69f70abc00848190a1c3f495ef6c8dc6 |
completed | May 3, 2026, 8:43 a.m. |
| PDg | Predicate description generation | batch_69f70e854b9c8190a3416e2189e17742 |
completed | May 3, 2026, 8:59 a.m. |
Created at: April 26, 2026, 10:28 p.m.