Triple
T1563242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Basilica Cistern |
E33374
|
entity |
| Predicate | columnHeight |
P9788
|
FINISHED |
| Object | approximately 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 9 meters | Statement: [Basilica Cistern, columnHeight, approximately 9 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: columnHeight Context triple: [Basilica Cistern, columnHeight, approximately 9 meters]
-
A.
ashColumnHeight
Indicates the height reached by a column of volcanic ash above a reference level, typically the volcano or sea level.
-
B.
ashColumnHeightApproximate
Indicates that the height of an ash column is an estimated or approximate value rather than an exact measurement.
-
C.
currentHeight
Indicates the present vertical measurement or elevation of an entity at a given point in time.
-
D.
totalHeight
Indicates the combined vertical measurement resulting from adding the heights of one or more entities.
-
E.
hasHeight
chosen
Indicates that one entity possesses a specific vertical measurement or stature.
- 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_69a885ef9cf48190b0af0f5ce3d02231 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90fccd4b48190a44012888a00af7f |
completed | March 5, 2026, 5:08 a.m. |
| PD | Predicate disambiguation | batch_69a907b872f0819096b3df6ad502c63e |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:27 p.m.