Triple
T32738695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hijaz scale |
E837160
|
entity |
| Predicate | characterizedByInterval |
P70298
|
FINISHED |
| Object | augmented second |
—
|
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 | Statement: [Hijaz scale, characterizedByInterval, augmented second]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterizedByInterval Context triple: [Hijaz scale, characterizedByInterval, augmented second]
-
A.
hasIntervalStructure
Indicates that something possesses or is organized according to a specific interval-based structure or pattern.
-
B.
invariantInterval
Indicates that a certain interval or range remains unchanged or constant under a specified transformation or set of conditions.
-
C.
characteristicInterval
chosen
Indicates the specific interval or range that most characteristically represents the extent, duration, or variation of a given property or phenomenon.
-
D.
typicalExampleInterval
Indicates the characteristic or most representative time span during which an associated event, state, or condition typically occurs.
-
E.
hasInterval
Indicates that something is associated with a specific span or range between two points in time, space, or value.
- 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_69f34936e1748190b797e406e4e9293a |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69ff14d596e88190be5263b7f96a96cd |
completed | May 9, 2026, 11:04 a.m. |
| PD | Predicate disambiguation | batch_69ff13f0208081909369aeb3b77a6b1f |
completed | May 9, 2026, 11:01 a.m. |
Created at: May 1, 2026, 1:12 a.m.