Triple
T568565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Campaign for Nuclear Disarmament |
E13611
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | CND |
E13611
|
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: CND | Statement: [Campaign for Nuclear Disarmament, hasAbbreviation, CND]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CND Context triple: [Campaign for Nuclear Disarmament, hasAbbreviation, CND]
-
A.
CND
chosen
CND is a British peace organization best known for campaigning against nuclear weapons and promoting global disarmament.
-
B.
CNE
CNE is a large annual fair and exhibition held in Toronto, Canada, featuring rides, games, concerts, food, and cultural events.
-
C.
Tinte
Tinte is a small village in the Dutch province of South Holland, known for its rural character and annual local festivities.
-
D.
NDH
NDH was the fascist puppet state established by the Axis powers in World War II on the territory of occupied Croatia and Bosnia and Herzegovina.
-
E.
Revlon
Revlon is a major American cosmetics, skincare, fragrance, and personal care company known for its mass-market beauty products and global brand presence.
- 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_69a4933fa4d88190a7949cc83c08c5c1 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49b0406d481908af5fc7bc67103fb |
completed | March 1, 2026, 8:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4fc81d6d4819090d91560efaa085d |
completed | March 2, 2026, 2:57 a.m. |
Created at: March 1, 2026, 7:33 p.m.