Triple
T14674260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olympieion |
E344595
|
entity |
| Predicate | originallyHadNumberOfColumns |
P15257
|
FINISHED |
| Object | 104 |
—
|
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: 104 | Statement: [Olympieion, originallyHadNumberOfColumns, 104]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originallyHadNumberOfColumns Context triple: [Olympieion, originallyHadNumberOfColumns, 104]
-
A.
numberOfColumns
chosen
Indicates the total count of vertical divisions (columns) associated with or contained in a given structure or dataset.
-
B.
hasApproximateNumberOfColumns
Indicates that an entity is associated with an estimated or non-exact count of columns.
-
C.
heightOfOriginalColumn
Indicates the measurement of how tall the original column is before any changes or modifications.
-
D.
hasColumnCountBack
Indicates that an entity (such as a table or layout) has a specified number of columns on its back side or rear-facing section.
-
E.
numberOfInnerColumns
Indicates the count of inner columns contained within or defined by a given structure or 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_69d822e283fc8190a0e4c235cf880052 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb5666e648190b5faa07076f497b8 |
completed | April 14, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69de6576f0208190aa94d995e797ac38 |
completed | April 14, 2026, 4:04 p.m. |
Created at: April 10, 2026, 1:27 a.m.