Triple
T22362049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hashkivenu |
E552800
|
entity |
| Predicate | associatedConcept |
P531
|
FINISHED |
| Object | Shalom |
—
|
NE NERFINISHED |
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: Shalom | Statement: [Hashkivenu, associatedConcept, Shalom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shalom Context triple: [Hashkivenu, associatedConcept, Shalom]
-
A.
Shalom
Shalom is a Hebrew given name commonly used in Jewish communities, meaning "peace" and often symbolizing harmony and well-being.
-
B.
Sashalom
Sashalom is a residential neighborhood in the 16th district of Budapest, Hungary.
-
C.
Sim Shalom
chosen
Sim Shalom is a Jewish liturgical prayer that asks God to grant peace, blessing, and goodness to the people of Israel.
-
D.
Shalom Aleichem
Shalom Aleichem is a traditional Jewish liturgical song sung on Friday night to welcome the Shabbat and the accompanying ministering angels.
-
E.
Ma'ale HaShalom
Ma'ale HaShalom is a road in Jerusalem that connects the Dung Gate area of the Old City with surrounding neighborhoods and access routes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e4affcc8190ba7c27d29062558d |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f157d44a908190b16e4cfdf4591b10 |
completed | April 29, 2026, 12:59 a.m. |
Created at: April 16, 2026, 8:44 p.m.