Triple
T23298645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ahava Rabba mode |
E590240
|
entity |
| Predicate | intervalCharacteristic |
P70298
|
FINISHED |
| Object | augmented second between b2 and 3 |
—
|
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: augmented second between b2 and 3 | Statement: [Ahava Rabba mode, intervalCharacteristic, augmented second between b2 and 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intervalCharacteristic Context triple: [Ahava Rabba mode, intervalCharacteristic, augmented second between b2 and 3]
-
A.
intervalPattern
Indicates a recurring temporal relationship where events or states follow a specific, regular interval pattern between their occurrences.
-
B.
characteristicInterval
chosen
Indicates the specific interval or range that most characteristically represents the extent, duration, or variation of a given property or phenomenon.
-
C.
timeCharacteristic
Indicates a relationship where one entity specifies a temporal property, feature, or constraint that characterizes another entity or event.
-
D.
intervalAct
Indicates an action or relationship that occurs over, or is defined by, a specific time interval between entities.
-
E.
timeIntervalLength
Indicates the duration or length of a specified time interval.
- 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_69e25d1c0ecc8190a355aa229f06d0e0 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f196d133448190bf350a9f51c1531c |
completed | April 29, 2026, 5:27 a.m. |
| PD | Predicate disambiguation | batch_69effcf325f88190b320268c3c551abb |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 5:03 p.m.