Triple
T16267107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Treaty of Ardres |
E394902
|
entity |
| Predicate | legalStatusOfBoulogne |
P27128
|
FINISHED |
| Object | English possession for a fixed term |
—
|
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 possession for a fixed term | Statement: [Treaty of Ardres, legalStatusOfBoulogne, English possession for a fixed term]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalStatusOfBoulogne Context triple: [Treaty of Ardres, legalStatusOfBoulogne, English possession for a fixed term]
-
A.
legalStatusInBelgium
Indicates the legal status or standing that an entity holds within the jurisdiction of Belgium.
-
B.
statusInFrance
chosen
Indicates the legal, social, or official standing or condition that an entity has within the jurisdiction of France.
-
C.
legalStatusInHomeland
Indicates the legal status or classification an entity holds within its country or place of origin.
-
D.
reservedToFrance
Indicates that something is exclusively allocated or designated for France.
-
E.
legalStatusInEuropeanUnion
Indicates the legal status or standing that an entity holds within the jurisdictional framework of the European Union.
- 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_69d87f221d8081909b0b2063e7528ba2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e245c963ec8190b059fecac6248cd9 |
completed | April 17, 2026, 2:38 p.m. |
| PD | Predicate disambiguation | batch_69e219f259e88190bf49d8408c04178e |
completed | April 17, 2026, 11:30 a.m. |
Created at: April 10, 2026, 5:05 a.m.