Triple
T780937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tisha B'Av |
E16493
|
entity |
| Predicate | fastType |
P19839
|
FINISHED |
| Object | major fast |
—
|
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: major fast | Statement: [Tisha B'Av, fastType, major fast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fastType Context triple: [Tisha B'Av, fastType, major fast]
-
A.
floatType
Indicates that an entity has a specific floating-point data type or is categorized as a floating-point numeric value.
-
B.
frameType
Indicates the specific structural or categorical kind of frame associated with an entity or relation.
-
C.
containsFast
Indicates that one entity includes or holds another entity in a way that allows rapid or high-speed access, interaction, or processing.
-
D.
formerType
Indicates that one entity previously had a certain type, role, or classification but no longer does.
-
E.
maxSpeed
Indicates the greatest possible speed at which an entity can move or operate under specified conditions.
- 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_69a4936ad1fc81908f190208059ccf78 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a90365648190ace53b0f0e87aa68 |
completed | March 1, 2026, 9 p.m. |
| PD | Predicate disambiguation | batch_69a4a50bd23081908908235b8ec9201e |
completed | March 1, 2026, 8:43 p.m. |
| PDg | Predicate description generation | batch_69a4a8f09d108190b8c83a6169d65c0c |
completed | March 1, 2026, 9 p.m. |
Created at: March 1, 2026, 7:37 p.m.