Triple
T17534047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Basilica of St. Pius X |
E427008
|
entity |
| Predicate | builtMaterial |
P112810
|
FINISHED |
| Object | reinforced concrete |
—
|
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: reinforced concrete | Statement: [Basilica of St. Pius X, builtMaterial, reinforced concrete]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: builtMaterial Context triple: [Basilica of St. Pius X, builtMaterial, reinforced concrete]
-
A.
مادة البناء
chosen
Indicates a relationship where something serves as, or is used as, a construction material in building or structural work.
-
B.
materialUsed
Indicates that one entity is made from, incorporates, or utilizes the other entity as its material or substance.
-
C.
constructionUsed
Indicates that one entity was employed as a construction method, material, or component in creating or assembling another entity.
-
D.
constructionMaterialOfDam
Indicates the material or materials used in the construction of a dam.
-
E.
hasArchitecturalMaterial
Indicates that something is constructed from, incorporates, or is characterized by a particular architectural material.
- 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_69d889de677081909b22d2657b1f0292 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4536ac7f48190994f7b39a6a811d7 |
completed | April 19, 2026, 4 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f8b9888190aa8a45e09acf4319 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:49 a.m.