Triple
T3311901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stockport Viaduct |
E69590
|
entity |
| Predicate | hasApproximateBrickCount |
P47203
|
FINISHED |
| Object | over 11 million bricks |
—
|
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: over 11 million bricks | Statement: [Stockport Viaduct, hasApproximateBrickCount, over 11 million bricks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasApproximateBrickCount Context triple: [Stockport Viaduct, hasApproximateBrickCount, over 11 million bricks]
-
A.
hasApproximateMemberCount
Indicates that an entity is associated with a group or collection for which only an estimated or non-exact number of members is known.
-
B.
hasApproximateLeaves
Indicates that one entity possesses a number of leaves that is approximately equal to the number of leaves of another entity.
-
C.
hasApproximateVendorCount
Indicates that an entity is associated with an estimated or non-exact number of vendors.
-
D.
hasApproximateNumberOfLetters
Indicates that an entity is associated with a number that roughly, but not exactly, corresponds to the count of letters it contains.
-
E.
approximateCapacity
Indicates that one entity has an estimated or rough capacity value relative to another or to a specified measure.
- F. None of above. chosen
Provenance (4 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_69ad85a0bb048190a5458d2738012d61 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb0eddf488190b7f05b3903b96d4b |
completed | March 8, 2026, 5:25 p.m. |
| PD | Predicate disambiguation | batch_69ada4282730819092aa39c5f9269df0 |
completed | March 8, 2026, 4:30 p.m. |
| PDg | Predicate description generation | batch_69ada52716ec81908e89688a81039394 |
completed | March 8, 2026, 4:34 p.m. |
Created at: March 8, 2026, 3:11 p.m.