Triple
T2552505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stonehenge |
E56657
|
entity |
| Predicate | estimatedWeightOfLargestStones |
P14792
|
FINISHED |
| Object | about 25 tonnes |
—
|
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: about 25 tonnes | Statement: [Stonehenge, estimatedWeightOfLargestStones, about 25 tonnes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: estimatedWeightOfLargestStones Context triple: [Stonehenge, estimatedWeightOfLargestStones, about 25 tonnes]
-
A.
numberOfStones
Indicates the quantitative count of stones associated with a given entity or context.
-
B.
domeWeight
Indicates the weight or mass of a dome structure associated with an entity.
-
C.
maximumWeight
chosen
Indicates the greatest allowable or observed weight value associated with an entity or relationship.
-
D.
stoneFragmentsFrom
Indicates that one entity consists of or originates as stone fragments derived from another entity.
-
E.
approximateNumberOfMoai
Indicates that one entity specifies an estimated or approximate count of Moai associated with another 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_69ab4a4bfec081908039988ec4c86e28 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd5a33234819082ad49fa6594b6be |
completed | March 7, 2026, 7:37 a.m. |
| PD | Predicate disambiguation | batch_69abd0c8b6f08190a68645db3e8b779a |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:48 p.m.