Triple
T7315443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chinese Machine‑Readable Cataloging |
E168399
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | CMARC |
E27069
|
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: CMARC | Statement: [Chinese Machine‑Readable Cataloging, abbreviation, CMARC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CMARC Context triple: [Chinese Machine‑Readable Cataloging, abbreviation, CMARC]
-
A.
CMARC
chosen
CMARC is the Chinese Machine-Readable Cataloging format, a localized variant of the MARC bibliographic standard used primarily in Chinese-language library cataloging systems.
-
B.
CMa
CMa is the standard astronomical abbreviation for Canis Major, a prominent constellation in the southern sky that contains Sirius, the brightest star visible from Earth.
-
C.
Virtucon
Virtucon is the fictional multinational conglomerate and front for Dr. Evil’s criminal organization in the Austin Powers film series.
-
D.
KORMARC
KORMARC is the Korean implementation of the MARC bibliographic data format standard used for cataloging and exchanging library records in Korea.
-
E.
CMGC
The CMGC was a specialized Canadian military unit formed during World War I to operate machine guns in support of infantry operations.
- 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_69c68a5251508190ad68df4151cfeb04 |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6ec04bdfc819093556aa5fa69e0e1 |
completed | March 27, 2026, 8:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7e570bb0c8190a34c763e23e0b9da |
completed | March 28, 2026, 2:28 p.m. |
Created at: March 27, 2026, 3:02 p.m.