Triple
T19474815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Twelve Apostles |
E487216
|
entity |
| Predicate | originalNumberOfStacks |
P136061
|
FINISHED |
| Object | twelve |
—
|
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: twelve | Statement: [Twelve Apostles, originalNumberOfStacks, twelve]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalNumberOfStacks Context triple: [Twelve Apostles, originalNumberOfStacks, twelve]
-
A.
numberOfStacks
Indicates the count of distinct stacks associated with or contained within a given entity.
-
B.
hasStacks
Indicates that one entity possesses or contains multiple layered or piled units of another entity.
-
C.
maxStackSize
Indicates the maximum number of identical items or elements that can be grouped or stacked together as a single unit.
-
D.
originalNumberOfLeaves
Indicates the initial count of leaves associated with an entity before any changes, losses, or additions occur.
-
E.
originalNumberOfTypes
Indicates the initial total count of distinct types that existed before any changes, filtering, or transformations were applied.
- 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_69d8e8d924388190b847cb15bb3d0aff |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633f126988190890ff8e5730e4ad3 |
completed | April 20, 2026, 2:10 p.m. |
| PD | Predicate disambiguation | batch_69e4fd7883308190b73912a71a35a835 |
completed | April 19, 2026, 4:06 p.m. |
| PDg | Predicate description generation | batch_69e5004d3a708190a1c13c8f644f3926 |
completed | April 19, 2026, 4:18 p.m. |
Created at: April 10, 2026, 1:39 p.m.