Triple
T4747332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Merkle tree |
E105392
|
entity |
| Predicate | internalNodeValue |
P7345
|
FINISHED |
| Object | hash of concatenated child hashes |
—
|
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: hash of concatenated child hashes | Statement: [Merkle tree, internalNodeValue, hash of concatenated child hashes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: internalNodeValue Context triple: [Merkle tree, internalNodeValue, hash of concatenated child hashes]
-
A.
isKeyNodeIn
Indicates that a node serves as a primary or critical element within a specified structure, system, or context.
-
B.
internalStructure
Indicates that one entity is a component, part, or substructure contained within the overall structure of another entity.
-
C.
firstNode
Indicates that the subject is the initial or starting node in an ordered sequence, structure, or path.
-
D.
value
chosen
Indicates that one entity possesses, represents, or corresponds to a particular quantity, quality, or assigned worth.
-
E.
processNode
Indicates performing an operation or series of operations on a node within a data structure or system.
- 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_69bd43f07fa48190954317d01600994a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64c3fcb081909b1fe867b4adac8b |
completed | March 20, 2026, 3:16 p.m. |
| PD | Predicate disambiguation | batch_69bd6223defc8190823665a6592c1154 |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:20 p.m.