Triple
T22515877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ʿAbd al-Raḥmān |
E556644
|
entity |
| Predicate | transliterationSystem |
P5923
|
FINISHED |
| Object | ALA-LC |
—
|
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: ALA-LC | Statement: [ʿAbd al-Raḥmān, transliterationSystem, ALA-LC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ALA-LC Context triple: [ʿAbd al-Raḥmān, transliterationSystem, ALA-LC]
-
A.
ALA-LC
chosen
ALA-LC is a widely used romanization standard developed by the American Library Association and the Library of Congress for converting non-Latin scripts into the Latin alphabet.
-
B.
ALA (historical)
ALA (historical) was the former stock ticker symbol used to represent the French telecommunications company Alcatel on securities exchanges.
-
C.
ARLC
ARLC is the governing body responsible for overseeing and administering professional rugby league in Australia, including the National Rugby League (NRL).
-
D.
ACLC
ACLC is a Canadian legal advocacy organization focused on protecting and advancing the rights and interests of African Canadians.
-
E.
ALCTS
ALCTS is a professional division of the American Library Association focused on library collections, cataloging, metadata, and technical services.
- 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_69e11e5657e881909f16ca58352c50da |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15e2cfc908190b3489228a1997f45 |
completed | April 29, 2026, 1:26 a.m. |
Created at: April 16, 2026, 8:50 p.m.