Triple
T16458909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | siege of Athens |
E399753
|
entity |
| Predicate | typeOfBlockade |
P47357
|
FINISHED |
| Object | land blockade |
—
|
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: land blockade | Statement: [siege of Athens, typeOfBlockade, land blockade]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfBlockade Context triple: [siege of Athens, typeOfBlockade, land blockade]
-
A.
blockadeType
chosen
Indicates the specific kind or category of blockade involved in the relationship or action.
-
B.
blockadedBy
Indicates that an entity is prevented from access, movement, or operation by another entity imposing a blockade.
-
C.
blockadedIn
Indicates that one entity is prevented or obstructed by another from entering, leaving, or accessing a particular place or resource.
-
D.
typicalBarrierType
Indicates the usual or characteristic type of barrier associated with or used in a given context or situation.
-
E.
typeOfSiege
Indicates the specific kind or category of siege involved in a conflict or military operation.
- 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32d7ff0e881909100bb5b33c04291 |
completed | April 18, 2026, 7:06 a.m. |
| PD | Predicate disambiguation | batch_69e227048d608190a4205eae3117629a |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:10 a.m.