Triple
T8796545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santa Teresa Tram |
E209302
|
entity |
| Predicate | constructionMaterialOfInfrastructure |
P64282
|
FINISHED |
| Object | masonry aqueduct arches |
—
|
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: masonry aqueduct arches | Statement: [Santa Teresa Tram, constructionMaterialOfInfrastructure, masonry aqueduct arches]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: constructionMaterialOfInfrastructure Context triple: [Santa Teresa Tram, constructionMaterialOfInfrastructure, masonry aqueduct arches]
-
A.
bridgeMaterial
Indicates that a bridge is constructed from, or primarily composed of, a specified material.
-
B.
constructionType
Indicates the specific method or style by which something is built or constructed.
-
C.
constructionUsed
chosen
Indicates that one entity was employed as a construction method, material, or component in creating or assembling another entity.
-
D.
materialOfFortifications
Indicates that a specified material is used in the construction or composition of certain fortifications.
-
E.
lighthouseConstructionMaterial
Indicates the material from which a lighthouse is built or primarily constructed.
- 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_69ca836240888190a62b262e56a69d2f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5fa24ca08190a7738a7f1c446456 |
completed | March 31, 2026, 11:58 p.m. |
| PD | Predicate disambiguation | batch_69cc5c1d48f08190b325a77d4c76d223 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:44 p.m.