Triple
T26569394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Storeton |
E666779
|
entity |
| Predicate | sandstoneUsedIn |
P71689
|
FINISHED |
| Object | buildings in Liverpool |
—
|
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: buildings in Liverpool | Statement: [Storeton, sandstoneUsedIn, buildings in Liverpool]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sandstoneUsedIn Context triple: [Storeton, sandstoneUsedIn, buildings in Liverpool]
-
A.
stoneMaterial
Indicates that something is made of, or primarily composed of, stone as its material.
-
B.
marbleUsedFor
Indicates that one entity (a marble) is employed or utilized for a particular purpose, function, or application in relation to another entity.
-
C.
materialFromQuarriesUsedFor
chosen
Indicates that material extracted from quarries is used for a particular purpose, project, or object.
-
D.
casingStonesPresent
Indicates that the outer protective or decorative casing stones are present on a structure or object.
-
E.
stoneColor
Indicates that one entity has a particular color attribute associated with a stone.
- 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_69ee9cfa21c081909e4e36e087debfc6 |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f614a2cb78819088724e7c3a6e77ba |
completed | May 2, 2026, 3:13 p.m. |
| PD | Predicate disambiguation | batch_69f60b8bb0d08190ab5a9a2a8847c6f4 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 27, 2026, 1:57 a.m.