Triple
T113502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hebrew calendar |
E2294
|
entity |
| Predicate | hasWeekLength |
P6441
|
FINISHED |
| Object | 7 days |
—
|
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: 7 days | Statement: [Hebrew calendar, hasWeekLength, 7 days]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWeekLength Context triple: [Hebrew calendar, hasWeekLength, 7 days]
-
A.
hasSolarDayLength
Indicates that an entity is associated with a specific duration for one complete solar day (the time between successive noons).
-
B.
hasWeeklyHolyDay
Indicates that an entity observes or is associated with a recurring holy or sacred day that occurs weekly.
-
C.
dayLengthCharacteristic
Indicates a relationship where an entity is characterized or defined by the length or duration of its day.
-
D.
workLengthRequirement
Indicates that there is a specified minimum or exact duration of work required for something (e.g., a job, task, or role).
-
E.
wordLength
Indicates that there is a relationship specifying the number of characters (length) in a given word.
- 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_69a24fcdaeb48190a2d796677e4b3281 |
completed | Feb. 28, 2026, 2:15 a.m. |
| NER | Named-entity recognition | batch_69a25760af348190bf402089c240887d |
completed | Feb. 28, 2026, 2:48 a.m. |
| PD | Predicate disambiguation | batch_69a2564417848190a8a8a38e97348963 |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a2575d8a648190ad8e10d4b04e5e07 |
completed | Feb. 28, 2026, 2:47 a.m. |
Created at: Feb. 28, 2026, 2:20 a.m.