Triple
T19774292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mogul geometry library |
E474962
|
entity |
| Predicate | supportsFormat |
P203
|
FINISHED |
| Object | CIF |
—
|
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: CIF | Statement: [Mogul geometry library, supportsFormat, CIF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CIF Context triple: [Mogul geometry library, supportsFormat, CIF]
-
A.
CIF
CIF is the governing body for high school sports and athletic competitions in the state of California.
-
B.
CIF1
CIF1 is the original version of the Crystallographic Information File standard used to represent and exchange crystallographic data in a structured text format.
-
C.
CIF2
chosen
CIF2 is an updated version of the Crystallographic Information Framework standard designed to more robustly and flexibly represent crystallographic data.
-
D.
Cif
Cif is a household cleaning product brand known for its creams and sprays used to remove tough dirt and stains from various surfaces.
-
E.
C2F
C2F is the United States Navy’s operational fleet responsible for maritime operations and readiness in the western Atlantic Ocean.
- 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_69d8e51a43a08190956bc6df13c91a77 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6535effcc819080a71de148759674 |
completed | April 20, 2026, 4:25 p.m. |
Created at: April 10, 2026, 1:48 p.m.