Triple
T30646202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nike of Paionios |
E780125
|
entity |
| Predicate | originalHeightWithBase |
P202154
|
FINISHED |
| Object | approximately 8 to 9 meters |
—
|
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: approximately 8 to 9 meters | Statement: [Nike of Paionios, originalHeightWithBase, approximately 8 to 9 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalHeightWithBase Context triple: [Nike of Paionios, originalHeightWithBase, approximately 8 to 9 meters]
-
A.
originalHeight
Indicates the initial or starting height of an entity before any change, adjustment, or transformation occurs.
-
B.
totalHeight
Indicates the combined vertical measurement resulting from adding the heights of one or more entities.
-
C.
baseLengthOriginal
Indicates the original or initial length value of a base element before any changes or transformations.
-
D.
hasHeight
Indicates that one entity possesses a specific vertical measurement or stature.
-
E.
heightOfOriginalColumn
Indicates the measurement of how tall the original column is before any changes or modifications.
- 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_69f224a5d2b481908a6853cd0138e2d7 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a005b2e0a9c819081c6f7ccbef49ff8 |
completed | May 10, 2026, 10:17 a.m. |
| PD | Predicate disambiguation | batch_6a005a8bcde88190ace2bc0215e26430 |
completed | May 10, 2026, 10:14 a.m. |
| PDg | Predicate description generation | batch_6a005b2cdbc881908b433623e3252df5 |
completed | May 10, 2026, 10:17 a.m. |
Created at: April 29, 2026, 8:29 p.m.