Triple
T16941537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Custom House, Dublin |
E410959
|
entity |
| Predicate | roofMaterialAfterRebuild |
P59925
|
FINISHED |
| Object | 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: concrete | Statement: [Custom House, Dublin, roofMaterialAfterRebuild, concrete]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roofMaterialAfterRebuild Context triple: [Custom House, Dublin, roofMaterialAfterRebuild, concrete]
-
A.
roofMaterialOriginal
Indicates the material that was originally used to construct the roof of a structure.
-
B.
roofRebuiltIn
Indicates that the roof of an entity was rebuilt in a specified time or during a particular period.
-
C.
wallMaterial
Indicates that one entity is the material from which a wall or walls of another entity are constructed.
-
D.
hasReconstructionMaterial
chosen
Indicates that something is associated with, composed of, or utilizes a particular material for its reconstruction.
-
E.
roofOptions
Indicates the available types or configurations of roofs that can be selected or applied to an 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_69d886c886688190967be07322597ac9 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cfadec70819095ec0048ebc71016 |
completed | April 18, 2026, 6:38 p.m. |
| PD | Predicate disambiguation | batch_69e32b9aa8748190b248890aca86753d |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:31 a.m.