Triple
T29262560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ponte Romana (Ourense) |
E741887
|
entity |
| Predicate | originallyBuiltAsPartOf |
P35910
|
FINISHED |
| Object | Roman road network in Hispania |
—
|
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 in Hispania | Statement: [Ponte Romana (Ourense), originallyBuiltAsPartOf, Roman road network in Hispania]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originallyBuiltAsPartOf Context triple: [Ponte Romana (Ourense), originallyBuiltAsPartOf, Roman road network in Hispania]
-
A.
builtAsPartOf
chosen
Indicates that one entity was constructed as a component or subset of a larger, encompassing entity or project.
-
B.
originallyBuilt
Indicates that one entity was the first or initial builder or constructor of another entity.
-
C.
originallyBuiltUnder
Indicates that something was first constructed during the rule, authority, or administration of a particular person, group, or regime.
-
D.
wasOriginallyBuiltAs
Indicates that an object or structure was initially constructed for a particular purpose, function, or role, which may differ from its current use.
-
E.
originallyBuiltBy
Indicates that something was first constructed or created by a particular agent, organization, or entity.
- 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_69f0912065c08190bddd23e20e8ef18e |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69ff779e3f0c8190a861f1e4000fd9d9 |
completed | May 9, 2026, 6:06 p.m. |
| PD | Predicate disambiguation | batch_69ff77202638819086e4b9f9c0bc7b31 |
completed | May 9, 2026, 6:04 p.m. |
Created at: April 28, 2026, 12:42 p.m.