Triple
T3616258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CDF detector |
E76606
|
entity |
| Predicate | acronym |
P43
|
FINISHED |
| Object | CDF |
E373830
|
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: CDF | Statement: [CDF detector, acronym, CDF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CDF Context triple: [CDF detector, acronym, CDF]
-
A.
CDF
CDF is the National Rail station code for Cardiff Central railway station, a major transport hub in Cardiff, Wales.
-
B.
CDF
chosen
CDF (Collider Detector at Fermilab) was a major particle physics experiment at the Tevatron collider that made key discoveries about the top quark and precision measurements of the Standard Model.
-
C.
CEF
CEF is the abbreviation for the Canadian Expeditionary Force, the field force of the Canadian Army raised for service overseas during the First World War.
-
D.
CAF
CAF is a Spanish multinational company that designs and manufactures railway vehicles and related transport equipment used by metro systems worldwide.
-
E.
CAF
CAF is the Confederation of African Football, the governing body for association football in Africa and one of FIFA’s six continental confederations.
- 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_69ad85dae2fc81908d1ceadbc6af0089 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc27c98088190a493c9eddf6b206a |
completed | March 8, 2026, 6:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b44f0ac4208190b38214ecb8c043e8 |
completed | March 13, 2026, 5:53 p.m. |
Created at: March 8, 2026, 3:23 p.m.