Triple
T30406910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Binance Smart Chain |
E773504
|
entity |
| Predicate | numberOfValidators |
P202324
|
FINISHED |
| Object | 21 active validators (typical) |
—
|
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: 21 active validators (typical) | Statement: [Binance Smart Chain, numberOfValidators, 21 active validators (typical)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfValidators Context triple: [Binance Smart Chain, numberOfValidators, 21 active validators (typical)]
-
A.
numberOfIndicators
Indicates the total count of indicators associated with or relevant to a given entity or context.
-
B.
numberOfCounts
Indicates the total quantity or tally of discrete occurrences, items, or instances associated with an entity or event.
-
C.
numberOfAccumulators
Indicates the total count of accumulators associated with or used by a given entity or system.
-
D.
numberOfInspectors
Indicates the quantity of inspectors associated with or assigned to a particular entity, task, or context.
-
E.
numberOfEntities
Indicates the total count of distinct entities involved in or associated with a given context or situation.
- 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_69f2248facd48190b183c3f3ca6daef7 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a007241df8081909dbad651fda82aa7 |
completed | May 10, 2026, 11:55 a.m. |
| PD | Predicate disambiguation | batch_6a0071e77ed081908cd618da8977d878 |
completed | May 10, 2026, 11:54 a.m. |
| PDg | Predicate description generation | batch_6a007240adac819087ab65e9733c384f |
completed | May 10, 2026, 11:55 a.m. |
Created at: April 29, 2026, 8:04 p.m.