Triple
T34210676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siege of Dunkirk (1793) |
E877643
|
entity |
| Predicate | hasReliefOperation |
P205366
|
FINISHED |
| Object | Battle of Hondschoote |
E251166
|
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: Battle of Hondschoote | Statement: [Siege of Dunkirk (1793), hasReliefOperation, Battle of Hondschoote]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReliefOperation Context triple: [Siege of Dunkirk (1793), hasReliefOperation, Battle of Hondschoote]
-
A.
reliefOperation
Indicates an organized effort or mission carried out to provide aid, support, or assistance in response to an emergency, crisis, or disaster.
-
B.
hasRelief
Indicates that one entity features or exhibits a raised or sculpted surface design (relief) in relation to another entity or context.
-
C.
hasReliefActor
Indicates that an entity has another entity serving as the actor responsible for providing relief or assistance in a given context.
-
D.
hasReliefOf
Indicates that one entity features, bears, or is adorned with a sculpted or carved relief representation of another entity.
-
E.
hasReliefFeature
Indicates that one entity possesses or includes a specific relief-related physical feature or characteristic.
- 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_69f349b0b4bc819088c1552424089ee9 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a36e614cc6c8190b3b384224f1240f0 |
completed | June 20, 2026, 7:12 p.m. |
| PD | Predicate disambiguation | batch_6a0379f963908190846d232f386fd98f |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c80ba448190853011097a151b7e |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 1:55 a.m.