Triple
T10497150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ovilava |
E247566
|
entity |
| Predicate | wasOn |
P29061
|
FINISHED |
| Object | Roman road network |
—
|
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: Roman road network | Statement: [Ovilava, wasOn, Roman road network]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasOn Context triple: [Ovilava, wasOn, Roman road network]
-
A.
wasIn
Indicates that an entity existed, occurred, or was located within a particular place or context during a specified time or situation.
-
B.
wasA
Indicates that an entity previously had a certain role, type, or classification in the past.
-
C.
wasAmong
Indicates that an entity belonged to, was included in, or was part of a particular group, set, or collection.
-
D.
wereInternedBy
Indicates that an entity was forcibly confined, detained, or held in an internment facility by another entity (typically an authority or government).
-
E.
wasBroadcastOn
chosen
Indicates that a media item (such as a program, episode, or event) was transmitted or aired via a particular broadcast channel, station, or network.
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5098d8ac481909c4adedbc4ad1c03 |
completed | April 7, 2026, 1:41 p.m. |
| PD | Predicate disambiguation | batch_69d4fb8e24ac8190912c9f11b8bd3084 |
completed | April 7, 2026, 12:41 p.m. |
Created at: April 6, 2026, 12:24 p.m.