Triple
T14095682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bein haMetzarim |
E339247
|
entity |
| Predicate | linkedFastDay |
P15537
|
FINISHED |
| Object | Seventeenth of Tammuz |
—
|
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: Seventeenth of Tammuz | Statement: [Bein haMetzarim, linkedFastDay, Seventeenth of Tammuz]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linkedFastDay Context triple: [Bein haMetzarim, linkedFastDay, Seventeenth of Tammuz]
-
A.
linkedToDate
Indicates that an entity is associated or connected to a specific date or point in time.
-
B.
designatedDayFor
Indicates that a specific day is officially assigned or reserved for a particular purpose, event, or activity.
-
C.
celebratedDay
Indicates that a particular day is observed, honored, or festively recognized in association with an entity or event.
-
D.
majorFastDay
chosen
Indicates that an entity is associated with a significant religious fast day observed with major or stringent fasting practices.
-
E.
peakDays
Indicates the days on which something reaches its highest or most intense level of activity, usage, or occurrence.
- 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_69d81c69b5c8819094aa1abf18302908 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5fb7fb3c819083266dbe7e93aaff |
completed | April 14, 2026, 3:39 p.m. |
| PD | Predicate disambiguation | batch_69de05b2f7e481908a9a7d40153234c0 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:22 p.m.