Triple
T15607638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Collider Detector at Fermilab |
E375201
|
entity |
| Predicate | alsoKnownAs |
P39
|
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: [Collider Detector at Fermilab, alsoKnownAs, CDF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CDF Context triple: [Collider Detector at Fermilab, alsoKnownAs, 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.
CDF
CDF is the official currency code for the Congolese franc, the legal tender of the Democratic Republic of the Congo.
-
D.
CDF
CDF is the commonly used abbreviation for the Chief of the Defence Force, the professional head of a nation's armed forces.
-
E.
CEF
CEF is the commonly used acronym for the French Bishops' Conference, the official assembly of Catholic bishops in France.
- 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_69d85ccf2794819096cda4cbcb02d478 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e7ec08c8190b3842cf3043aea27 |
completed | April 16, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56d51c28819097b8c2c0e2307401 |
completed | May 9, 2026, 3:46 p.m. |
Created at: April 10, 2026, 4:13 a.m.