Triple
T22405787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | siege of A Coruña |
E553876
|
entity |
| Predicate | landOperations |
P60270
|
FINISHED |
| Object | English troops under John Norris |
—
|
LITERAL 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: English troops under John Norris | Statement: [siege of A Coruña, landOperations, English troops under John Norris]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: landOperations Context triple: [siege of A Coruña, landOperations, English troops under John Norris]
-
A.
hasLandOperations
chosen
Indicates that an entity conducts or is responsible for activities, services, or operations carried out on land.
-
B.
landAction
Indicates an action in which an entity comes down to and makes contact with a surface or ground, typically concluding a movement through air or space.
-
C.
landManagement
Indicates how land is planned, used, and controlled over time, including decisions about its conservation, development, and resource use.
-
D.
landComponent
Indicates that one entity is a physical land portion or segment that forms part of a larger land area or land-related whole.
-
E.
Land
Indicates that an entity arrives onto and comes to rest on a surface or ground, typically from the air or another elevated position.
- F. None of above.
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_69e11e4da7048190b4387d422a9a0de5 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f158b739b88190a7f1f20fd1e9b188 |
completed | April 29, 2026, 1:02 a.m. |
| PD | Predicate disambiguation | batch_69e8989495bc81909d2699fce5992e28 |
completed | April 22, 2026, 9:44 a.m. |
Created at: April 16, 2026, 8:46 p.m.