Triple
T34666830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arba Minim |
E890279
|
entity |
| Predicate | wavedOn |
P179760
|
FINISHED |
| Object | first day of Sukkot (in Israel all days except Shabbat) |
—
|
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: first day of Sukkot (in Israel all days except Shabbat) | Statement: [Arba Minim, wavedOn, first day of Sukkot (in Israel all days except Shabbat)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wavedOn Context triple: [Arba Minim, wavedOn, first day of Sukkot (in Israel all days except Shabbat)]
-
A.
wavedDuring
chosen
Indicates that one entity performed a waving gesture at some point during a specified event, interval, or activity involving another entity.
-
B.
wavedIn
Indicates that one entity signaled or gestured for another entity to come in or enter a place.
-
C.
hasWave
Indicates that one entity possesses, exhibits, or is associated with a particular wave or waveform.
-
D.
numberOfWaves
Indicates the count of distinct wave events or oscillations associated with a given entity or interaction.
-
E.
waveType
Indicates the specific kind or category of wave associated with an entity or interaction (e.g., type of signal, motion, or oscillation).
- 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_69f349d9c59481908b36baa0be093aea |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f728a345488190bd7e6751b09ac591 |
completed | May 3, 2026, 10:51 a.m. |
| PD | Predicate disambiguation | batch_69f7283ef2608190a7a85d7e7f5332c0 |
completed | May 3, 2026, 10:49 a.m. |
Created at: May 1, 2026, 2:05 a.m.