Triple
T32792926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cheomseongdae Observatory |
E838678
|
entity |
| Predicate | numberOfStoneLayers |
P203746
|
FINISHED |
| Object | 27 |
—
|
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: 27 | Statement: [Cheomseongdae Observatory, numberOfStoneLayers, 27]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfStoneLayers Context triple: [Cheomseongdae Observatory, numberOfStoneLayers, 27]
-
A.
numberOfStoneRows
Indicates the count of distinct rows composed of stones associated with an entity.
-
B.
numberOfStones
Indicates the quantitative count of stones associated with a given entity or context.
-
C.
numberOfMajorStones
Indicates the quantity of major stones associated with or involved in a given entity or context.
-
D.
numberOfStaircases
Indicates the quantity of distinct staircases associated with or present in a given entity or location.
-
E.
numberOfBricksUsed
Indicates the quantity of bricks that were utilized in constructing or forming something.
- 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_69f3493c7f6881908edf2aa13631d1e0 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a01e27bb77c8190a7686b77a524f177 |
completed | May 11, 2026, 2:06 p.m. |
| PD | Predicate disambiguation | batch_6a01da2614788190b31db15539f5ba58 |
completed | May 11, 2026, 1:31 p.m. |
| PDg | Predicate description generation | batch_6a01e27af6488190af75efc2283d99b3 |
completed | May 11, 2026, 2:06 p.m. |
Created at: May 1, 2026, 1:14 a.m.