Triple
T5626099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Synagogue Youth |
E147720
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | USY |
E146941
|
NE 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: USY | Statement: [United Synagogue Youth, hasAbbreviation, USY]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: USY Context triple: [United Synagogue Youth, hasAbbreviation, USY]
-
A.
USY
chosen
USY (United Synagogue Youth) is the Conservative Jewish youth movement in North America that engages teens in Jewish learning, leadership, community, and Israel-focused activities.
-
B.
YUSU
YUSU is the students’ union representing and supporting students at the University of York through services, activities, and advocacy.
-
C.
UY
UY is the two-letter ISO 3166-1 alpha-2 country code assigned to Uruguay.
-
D.
USEU
USEU is the official diplomatic mission representing the United States government to the institutions of the European Union in Brussels.
-
E.
USZ
USZ is a major public teaching hospital in Zurich, Switzerland, affiliated with the University of Zurich and known for its advanced medical care and research.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c00906f2a88190a992c66b13d606d4 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c02237dd6081909f6a7d710b9cd651 |
completed | March 22, 2026, 5:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d6180f081908145f8d70ad6434c |
completed | March 22, 2026, 8:13 p.m. |
Created at: March 22, 2026, 3:40 p.m.