Triple
T3720868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akedah |
E81633
|
entity |
| Predicate | involvesSubstitute |
P51430
|
FINISHED |
| Object | ram |
—
|
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: ram | Statement: [Akedah, involvesSubstitute, ram]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: involvesSubstitute Context triple: [Akedah, involvesSubstitute, ram]
-
A.
numberOfSubstitutes
Indicates the quantity of substitute entities associated with or allowed for a given entity or situation.
-
B.
involves
Indicates that an entity participates in, is a part of, or is implicated within a particular event, process, or relationship.
-
C.
isSubstrateOf
Indicates that one entity serves as the material or reactant upon which another entity (typically an enzyme or process) acts in a chemical or biochemical reaction.
-
D.
replacesInPractice
Indicates that one entity has effectively taken over the role, function, or use of another entity in real-world application or usage.
-
E.
placedBy
Indicates that one entity was positioned, set, or put in a location or context by another entity.
- 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_69ad8b1b7ef081908d2d381bbf54985a |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adca9b5ca8819094299fffc02606ce |
completed | March 8, 2026, 7:14 p.m. |
| PD | Predicate disambiguation | batch_69adc0436e508190909ec4a3e8443aef |
completed | March 8, 2026, 6:30 p.m. |
| PDg | Predicate description generation | batch_69adc48ec1a081909af0ff9f267c0ffe |
completed | March 8, 2026, 6:48 p.m. |
Created at: March 8, 2026, 3:34 p.m.