Triple
T33996513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aliyah la-regel |
E871685
|
entity |
| Predicate | modernEcho |
P192935
|
FINISHED |
| Object | visiting the Western Wall on festivals |
—
|
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: visiting the Western Wall on festivals | Statement: [Aliyah la-regel, modernEcho, visiting the Western Wall on festivals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modernEcho Context triple: [Aliyah la-regel, modernEcho, visiting the Western Wall on festivals]
-
A.
echoedIn
Indicates that a sound, statement, or effect produced in one context is repeated, reflected, or resonated in another context.
-
B.
modernResponse
Indicates that an entity’s reply, solution, or behavior aligns with contemporary standards, practices, or expectations.
-
C.
echoesCity
Indicates that one city reflects, resembles, or mirrors another city in character, atmosphere, or notable features.
-
D.
modernVariation
Indicates that one entity is a contemporary or updated version, adaptation, or reinterpretation of another.
-
E.
advantageOverEcho
Indicates that one entity possesses an advantage or superiority over another entity referred to as Echo.
- 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_69f3499f8cbc81908de6ec89fa91ea8f |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd32848ea88190a71e6df402bbb30e |
completed | May 8, 2026, 12:47 a.m. |
| PD | Predicate disambiguation | batch_69fd2d7e95588190991d5f21e25155df |
completed | May 8, 2026, 12:25 a.m. |
| PDg | Predicate description generation | batch_69fd328298ac8190b6bd5ded7dca270d |
completed | May 8, 2026, 12:46 a.m. |
Created at: May 1, 2026, 1:50 a.m.