Triple
T6387523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crystallographic Information Framework |
E143736
|
entity |
| Predicate | hasVersion |
P455
|
FINISHED |
| Object |
CIF1
CIF1 is the original version of the Crystallographic Information File standard used to represent and exchange crystallographic data in a structured text format.
|
E592844
|
NE FINISHED |
How this triple was built (4 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: CIF1 | Statement: [Crystallographic Information Framework, hasVersion, CIF1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CIF1 Context triple: [Crystallographic Information Framework, hasVersion, CIF1]
-
A.
CIF2
CIF2 is an updated version of the Crystallographic Information Framework standard designed to more robustly and flexibly represent crystallographic data.
-
B.
Cif
Cif is a household cleaning product brand known for its creams and sprays used to remove tough dirt and stains from various surfaces.
-
C.
CIEF
CIEF is the abbreviated name for the Canton Fair, China’s largest and oldest comprehensive trade exhibition held biannually in Guangzhou.
-
D.
FIF
FIF is the abbreviation for the Fife Flyers, a professional ice hockey team based in Kirkcaldy, Scotland.
-
E.
SIF
SIF is the governing body for ice hockey in Sweden, overseeing the national teams and domestic competitions.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: CIF1 Triple: [Crystallographic Information Framework, hasVersion, CIF1]
Generated description
CIF1 is the original version of the Crystallographic Information File standard used to represent and exchange crystallographic data in a structured text format.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CIF1 Target entity description: CIF1 is the original version of the Crystallographic Information File standard used to represent and exchange crystallographic data in a structured text format.
-
A.
CIF2
CIF2 is an updated version of the Crystallographic Information Framework standard designed to more robustly and flexibly represent crystallographic data.
-
B.
Cif
Cif is a household cleaning product brand known for its creams and sprays used to remove tough dirt and stains from various surfaces.
-
C.
CIEF
CIEF is the abbreviated name for the Canton Fair, China’s largest and oldest comprehensive trade exhibition held biannually in Guangzhou.
-
D.
FIF
FIF is the abbreviation for the Fife Flyers, a professional ice hockey team based in Kirkcaldy, Scotland.
-
E.
SIF
SIF is the governing body for ice hockey in Sweden, overseeing the national teams and domestic competitions.
- F. None of above. chosen
Provenance (5 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_69c008dac1ec81909cef8157ccd69962 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06869dfb88190aeb84c6c61414888 |
completed | March 22, 2026, 10:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c640b7e89881908e1c39d45e8a8473 |
completed | March 27, 2026, 8:32 a.m. |
| NEDg | Description generation | batch_69c643eee5fc8190bb874319d84a0d03 |
completed | March 27, 2026, 8:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c64481fea8819089988f558bf2cb54 |
completed | March 27, 2026, 8:49 a.m. |
Created at: March 22, 2026, 4:34 p.m.