Triple
T214299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MARC standards |
E4784
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object | AUSMARC |
E4784
|
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: AUSMARC | Statement: [MARC standards, hasComponent, AUSMARC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AUSMARC Context triple: [MARC standards, hasComponent, AUSMARC]
-
A.
MARC
MARC is a commuter rail service in Maryland that connects Washington, D.C. with Baltimore and other regional destinations.
-
B.
MARC standards
chosen
MARC standards are a set of bibliographic data formats used worldwide to structure and exchange library catalog information in a consistent, machine-readable way.
-
C.
AMRO
AMRO is the World Health Organization’s Regional Office responsible for public health leadership and coordination across the Americas.
-
D.
HMC
HMC is a professional association of leading independent school heads in the United Kingdom and internationally.
-
E.
ACS
ACS is a leading U.S.-based scientific society and publisher focused on advancing the chemistry enterprise and its practitioners worldwide.
- 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_69a2575cb1dc8190a01ad332426dc339 |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25c32ae208190a03d504ef43ea659 |
completed | Feb. 28, 2026, 3:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a338e980908190871a2236375de6bd |
completed | Feb. 28, 2026, 6:50 p.m. |
Created at: Feb. 28, 2026, 2:52 a.m.