Triple
T694047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zermelo–Fraenkel set theory |
E13857
|
entity |
| Predicate | extension |
P11869
|
FINISHED |
| Object | ZFC |
E84442
|
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: ZFC | Statement: [Zermelo–Fraenkel set theory, extension, ZFC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ZFC Context triple: [Zermelo–Fraenkel set theory, extension, ZFC]
-
A.
ZF
chosen
ZF is the standard axiomatic framework for set theory that underpins much of modern mathematics.
-
B.
CZI
CZI is a philanthropic organization founded by Priscilla Chan and Mark Zuckerberg that focuses on advancing science, education, and social justice through technology-driven initiatives and grantmaking.
-
C.
FC
FC is the standard abbreviation for Fibre Channel, a high-speed network technology primarily used to connect computer data storage in storage area networks.
-
D.
ZWL
ZWL is the currency code for the reintroduced Zimbabwean dollar used in Zimbabwe’s monetary system.
-
E.
CAF
CAF is a Spanish multinational company that designs and manufactures railway vehicles and related transport equipment used by metro systems 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_69a493406c408190957eeec9048a8fb6 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a0b1e1d08190bdd42f57be5c2a6b |
completed | March 1, 2026, 8:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a64a53c068819089e66347da55710b |
completed | March 3, 2026, 2:41 a.m. |
Created at: March 1, 2026, 7:36 p.m.