Triple
T33455744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ICIAM 1999 Edinburgh |
E856768
|
entity |
| Predicate | hasFrequencyInSeries |
P160844
|
FINISHED |
| Object | quadrennial |
—
|
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: quadrennial | Statement: [ICIAM 1999 Edinburgh, hasFrequencyInSeries, quadrennial]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFrequencyInSeries Context triple: [ICIAM 1999 Edinburgh, hasFrequencyInSeries, quadrennial]
-
A.
timePeriodInSeries
Indicates the specific time span or interval during which an installment, episode, or part occurs within a larger series or sequence.
-
B.
occursEvery
Indicates that an event or action happens repeatedly at regular, specified intervals.
-
C.
hasEventFrequency
Indicates how often a particular event occurs within a given time period.
-
D.
hasFrequencyCategory
Indicates that something is associated with a particular classification of how often it occurs or is used.
-
E.
seriesFrequency
chosen
Indicates how often the events or items in a recurring series occur over time.
- 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_69f3497281a08190b4705de0b5f26ba7 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7688dd3d08190ad13d0e780570a1c |
completed | May 3, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69f767fcf2f881908bacc7bfc38e68a5 |
completed | May 3, 2026, 3:21 p.m. |
Created at: May 1, 2026, 1:37 a.m.