Triple
T27638834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pay-to-Witness-Script-Hash |
E696534
|
entity |
| Predicate | usesWitnessField |
P163313
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Pay-to-Witness-Script-Hash, usesWitnessField, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesWitnessField Context triple: [Pay-to-Witness-Script-Hash, usesWitnessField, true]
-
A.
hasWitnessType
Indicates that an event, incident, or situation is associated with a specific category or type of witness involved.
-
B.
hasPrimaryWitness
Indicates that an entity is the main or principal witness associated with another entity or event.
-
C.
witnessesMustBe
Indicates that certain individuals are required to serve as witnesses under specified conditions or rules.
-
D.
witnessCount
Indicates the number of distinct witnesses associated with a particular event, action, or relationship.
-
E.
socialWitness
Indicates that one entity observes, attends, or is present for another entity’s social interaction or socially significant event.
- 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_69ef5909f3848190805f35b76833e722 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f6369a22688190a5674191c90a5d12 |
completed | May 2, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69f631871c888190bf29466fe4254e51 |
completed | May 2, 2026, 5:16 p.m. |
| PDg | Predicate description generation | batch_69f6359d46b88190922dd7de508e3b0e |
completed | May 2, 2026, 5:34 p.m. |
Created at: April 27, 2026, 2:25 p.m.